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Practical methods for analyzing your data with graphs, revealing hidden connections and new insights.Graphs are the natural way to represent and understand connected data. This book explores the most important algorithms and techniques for graphs in data science, with concrete advice on implementation and deployment. You don't need any graph experience to start benefiting from this insightful guide. These powerful graph algorithms are explained in clear, jargon-free text and illustrations that makes them easy to apply to your own projects. In Graph Algorithms for Data Science you will learn: Labeled-property graph modeling Constructing a graph from structured data such as CSV or SQL NLP techniques to construct a graph from unstructured data Cypher query language syntax to manipulate data and extract insights Social network analysis algorithms like PageRank and community detection How to translate graph structure to a ML model input with node embedding models Using graph features in node classification and link prediction workflows Graph Algorithms for Data Science is a hands-on guide to working with graph-based data in applications like machine learning, fraud detection, and business data analysis. It's filled with fascinating and fun projects, demonstrating the ins-and-outs of graphs. You'll gain practical skills by analyzing Twitter, building graphs with NLP techniques, and much more. Foreword by Michael Hunger. About the technology A graph, put simply, is a network of connected data. Graphs are an efficient way to identify and explore the significant relationships naturally occurring within a dataset. This book presents the most important algorithms for graph data science with examples from machine learning, business applications, natural language processing, and more. About the book Graph Algorithms for Data Science shows you how to construct and analyze graphs from structured and unstructured data. In it, you'll learn to apply graph algorithms like PageRank, community detection/clustering, and knowledge graph models by putting each new algorithm to work in a hands-on data project. This cutting-edge book also demonstrates how you can create graphs that optimize input for AI models using node embedding. What's inside Creating knowledge graphs Node classification and link prediction workflows NLP techniques for graph construction About the reader For data scientists who know machine learning basics. Examples use the Cypher query language, which is explained in the book. About the author Tomaž Bratanic works at the intersection of graphs and machine learning. Arturo Geigel was the technical editor for this book. Table of Contents PART 1 INTRODUCTION TO GRAPHS 1 Graphs and network science: An introduction 2 Representing network structure: Designing your first graph model PART 2 SOCIAL NETWORK ANALYSIS 3 Your first steps with Cypher query language 4 Exploratory graph analysis 5 Introduction to social network analysis 6 Projecting monopartite networks 7 Inferring co-occurrence networks based on bipartite networks 8 Constructing a nearest neighbor similarity network PART 3 GRAPH MACHINE LEARNING 9 Node embeddings and classification 10 Link prediction 11 Knowledge graph completion 12 Constructing a graph using natural language processing technique

Troubleshoot query performance issues, identify anti-patterns in your code, and write efficient T-SQL queries with this guide for T-SQL developersKey FeaturesA definitive guide to mastering the techniques of writing efficient T-SQL codeLearn query optimization fundamentals, query analysis, and how query structure impacts performanceDiscover insightful solutions to detect, analyze, and tune query performance issuesPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionData professionals seeking to excel in Transact-SQL for Microsoft SQL Server and Azure SQL Database often lack comprehensive resources. Learn T-SQL Querying second edition focuses on indexing queries and crafting elegant T-SQL code enabling data professionals gain mastery in modern SQL Server versions (2022) and Azure SQL Database. The book covers new topics like logical statement processing flow, data access using indexes, and best practices for tuning T-SQL queries. Starting with query processing fundamentals, the book lays a foundation for writing performant T-SQL queries. You'll explore the mechanics of the Query Optimizer and Query Execution Plans, learning to analyze execution plans for insights into current performance and scalability. Using dynamic management views (DMVs) and dynamic management functions (DMFs), you'll build diagnostic queries. The book covers indexing and delves into SQL Server's built-in tools to expedite resolution of T-SQL query performance and scalability issues. Hands-on examples will guide you to avoid UDF pitfalls and understand features like predicate SARGability, Query Store, and Query Tuning Assistant. By the end of this book, you‘ll have developed the ability to identify query performance bottlenecks, recognize anti-patterns, and avoid pitfallsWhat you will learnIdentify opportunities to write well-formed T-SQL statementsFamiliarize yourself with the Cardinality Estimator for query optimizationCreate efficient indexes for your existing workloadsImplement best practices for T-SQL queryingExplore Query Execution Dynamic Management ViewsUtilize the latest performance optimization features in SQL Server 2017, 2019, and 2022Safeguard query performance during upgrades to newer versions of SQL ServerWho this book is forThis book is for database administrators, database developers, data analysts, data scientists and T-SQL practitioners who want to master the art of writing efficient T-SQL code and troubleshooting query performance issues through practical examples. A basic understanding of T-SQL syntax, writing queries in SQL Server, and using the SQL Server Management Studio tool will be helpful to get started.

The most thorough SQL reference, now updated for SQL:2023 SQL All-in-One For Dummies has everything you need to get started with the SQL programming language, and then to level up your skill with advanced applications. This relational database coding language is one of the most used languages in professional software development. And, as it becomes ever more important to take control of data, there's no end in sight to the need for SQL know-how. You can take your career to the next level with this guide to creating databases, accessing and editing data, protecting data from corruption, and integrating SQL with other languages in a programming environment. Become a SQL guru and turn the page on the next chapter of your coding career. Get 7 mini-books in one, covering basic SQL, database development, and advanced SQL concepts Read clear explanations of SQL code and learn to write complex queries Discover how to apply SQL in real-world situations to gain control over large datasets Enjoy a thorough reference to common tasks and issues in SQL developmentThis Dummies All-in-One guide is for all SQL users—from beginners to more experienced programmers. Find the info and the examples you need to reach the next stage in your SQL journey.

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. dbt (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL.Authors Rui Machado from Monstarlab and Hélder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence.With this book, you'll learn:What dbt is and how a dbt project is structuredHow dbt fits into the data engineering and analytics worldsHow to collaborate on building data modelsThe main tools and architectures for building useful, functional data modelsHow to fit dbt into data warehousing and laking architectureHow to build tests for data transformations

To help you on the path to becoming a Snowflake pro, this concise yet comprehensive guide reviews fundamentals and best practices for Snowflake's SQL and Scripting languages. Developers and data professionals will learn how to generate, modify, and query data in the Snowflake relational database management system as well as how to apply analytic functions for reporting.Author Alan Beaulieu also shows you how to create scripts, stored functions, and stored procedures to return data sets using Snowflake Scripting. This book is ideal whether you're new to databases and need to run queries or reports against a Snowflake database, or transitioning from databases such as Oracle, SQL Server, or MySQL to cloud-based platforms.With this book, you will:Generate and modify Snowflake data using Insert, Update, DeleteQuery data in Snowflake using Select, including joining multiple tables, using subqueries, and groupingApply analytic functions for performing subtotals, grand totals, row comparisons, and other reporting functionalityBuild scripts combining SQL statements with looping, if-then-else, and exception handlingLearn how to build stored procedures and functionsUse stored procedures to return data sets

Applying Natural Language Processing (NLP) concepts to help humans in their daily life, this book discusses an automatic translation of an unstructured Natural Language Question (NLQ) into a Structured Query Language (SQL) statement. Using SQL as a Relational DataBase (RDB) interaction language, database administrators or general users with little to no SQL querying abilities are provided with all the knowledge necessary to perform queries on RDBs in an interactive manner.Key Features: Includes extensive and illustrative examples to simplify the discussed concepts Discusses a novel, and yet simple, approach to NLP Introduces a lightweight NLQ into SQL translation approach through the use of RDB MetaTables as a Hash table Extensive literature review and thorough background information on every tool, concept and technique applied Providing a unique approach to NLQ into SQL translation, as well as comprising disparate resources on NLP as a whole, this shortform book is of direct use to administrators and general users of databases.

Query and modify data effectively with the latest T-SQL features Master Transact-SQL's fundamentals, and write correct, robust code for querying and modifying data with modern Microsoft data technologies, including SQL Server 2022, Azure SQL Database, and Azure SQL Managed Instance. Long-time Microsoft Data Platform MVP Itzik Ben-Gan explains key T-SQL concepts, helping you apply your knowledge with hands-on exercises. Ben-Gan first introduces T-SQL's theory and underlying logic, illuminating it as both a language and a way of thinking. Next, he walks through core topics, including logical query processing, single table queries, joins, subqueries, table expressions, set operators, data analysis, data modifications, temporal tables, and transactions and concurrency. Building on this foundation, you'll enhance your coding capabilities, from programmatic constructs to the powerful new SQL Graph. Throughout, Ben-Gan presents reusable T-SQL sample code that works in cloud, on-premises, and hybrid environments. Microsoft Data Platform MVP Itzik Ben-Gan helps you: Understand why T-SQL works as it does, so you can write better code Review relational theory elements and modern SQL Server architecture Create tables and defi ne data integrity Build single-table SELECT queries, multiple-table joins, and subqueries Utilize derived tables, Common Table Expressions, views, inline table-valued functions, and APPLY Make the most of UNION, INTERSECT, and EXCEPT set operators Perform data analysis with window functions, pivoting, grouping sets, and time series Insert, update, delete, and merge data Get started with system-versioned temporal tables Understand and apply transactions and concurrency, including concurrent user connections, locks, blocking, isolation levels, and more Use SQL Graph to model, create, modify, and query graph-based data Explore SQL Server programmable objects and programming capabilities Set up your environment, install sample databases, and fi nd even more help For IT Professionals and Consultants For T-SQL developers, DBAs, BI practitioners, data scientists, report writers, analysts, architects, and SQL Server power users For anyone else who needs to write queries or develop T-SQL code for SQL Server, Azure SQL Database, or Azure SQL Managed Instance

Master the capabilities of PostgreSQL 15 to efficiently administer and maintain your database. Purchase of the print or Kindle book includes a free PDF eBook.Key FeaturesUsing real world examples, get to grips with expert PostgreSQL 15 conceptsExplore performance improvement, database replication, data replication, database administration, and moreExtend PostgreSQL's functionalities to suit your organization's needs with minimal effortBook DescriptionStarting with an introduction to the newly released features of PostgreSQL 15, this updated fifth edition will help you get to grips with PostgreSQL administration and how to build dynamic database solutions for enterprise apps, including designing both physical and technical aspects of the system. You'll explore advanced PostgreSQL features, such as logical replication, database clusters, advanced indexing, and user management to manage and maintain your database. You'll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. Among the other skills that the book will help you build, you'll cover transactions, handling recursions, working with JSON and JSONB data, and setting up a Patroni cluster. It will show you how to improve performance with query optimization. You'll also focus on managing network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases. By the end of this PostgreSQL book, you'll be able to use your database to its utmost capacity by implementing advanced administrative tasks with ease.What you will learnMake use of the indexing features in PostgreSQL and fine-tune the performance of your queriesWork with stored procedures and manage backup and recoveryGet the hang of replication and failover techniquesImprove the security of your database server and handle encryption effectivelyTroubleshoot your PostgreSQL instance for solutions to common and not-so-common problemsPerform database migration from Oracle to PostgreSQL with easeWho this book is forThis database administration book is for PostgreSQL developers, database administrators, and professionals who want to implement advanced functionalities and master complex administrative tasks with PostgreSQL 15. Prior experience in PostgreSQL and familiarity with the basics of database administration will assist with understanding key concepts covered in the book.

Enhance your SQL query writing skills to provide greater business value using advanced techniques such as common table expressions, window functions, and JSON Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesExamine query design and performance using query plans and indexesSolve business problems using advanced techniques such as common table expressions and window functionsUse SQL in modern data platform solutions with JSON and Jupyter notebooksBook DescriptionSQL has been the de facto standard when interacting with databases for decades and shows no signs of going away. Through the years, report developers or data wranglers have had to learn SQL on the fly to meet the business needs, so if you are someone who needs to write queries, SQL Query Design and Pattern Best Practices is for you. This book will guide you through making efficient SQL queries by reducing set sizes for effective results. You'll learn how to format your results to make them easier to consume at their destination. From there, the book will take you through solving complex business problems using more advanced techniques, such as common table expressions and window functions, and advance to uncovering issues resulting from security in the underlying dataset. Armed with this knowledge, you'll have a foundation for building queries and be ready to shift focus to using tools, such as query plans and indexes, to optimize those queries. The book will go over the modern data estate, which includes data lakes and JSON data, and wrap up with a brief on how to use Jupyter notebooks in your SQL journey. By the end of this SQL book, you'll be able to make efficient SQL queries that will improve your report writing and the overall SQL experience.What you will learnBuild efficient queries by reducing the data being returnedManipulate your data and format it for easier consumptionForm common table expressions and window functions to solve complex business issuesUnderstand the impact of SQL security on your resultsUnderstand and use query plans to optimize your queriesUnderstand the impact of indexes on your query performance and designWork with data lake data and JSON in SQL queriesOrganize your queries using Jupyter notebooksWho this book is forThis book is for SQL developers, data analysts, report writers, data scientists, and other data gatherers looking to expand their skills for complex querying as well as for building more efficient and performant queries. For those new to SQL, this book can help you accelerate your learning and keep you from making common mistakes.

Leverage the power of SQL to perform geospatial analysis and increase your speed and efficiency working with a variety of spatial applications such as PostGIS and QGIS Key Features Follow along with actionable instructions with this practical guide Become well-versed in advanced spatial modeling and machine learning techniques Learn best practices for performing spatial analysis from an expert spatial data analyst Book Description Geospatial analysis is used in almost every industry to answer location-related questions. Combined with the power of SQL, which is becoming a popular choice for developers and analysts worldwide, this technology will help you to solve real-world spatial problems easily. This book shows you how to detect and quantify patterns in datasets through data exploration, data visualization, data engineering, and the application of analysis and spatial techniques. You'll begin by exploring the fundamentals of geospatial analysis and understand its importance along with vector and raster models, among other things. You'll then look at the framework for geospatial analysis using SQL and progress through the chapters to create a spatial database and analyze it. In the next part, you'll advance to learning about using SQL functions and building SQL queries. By the end of this book, you'll be able to make the most of open source libraries and frameworks such as PostGIS and QGIS for analyzing spatial information. What you will learn Understand geospatial fundamentals as a basis for learning spatial SQL Generate point, line, and polygon data with SQL Create geometry objects with WKT, WKB, and GeoJSON Use spatial data types to abstract and encapsulate spatial structures Work with open source GIS combined with plug-ins Visualize spatial data and expand QGIS functionality with Postgres Apply location data to leverage spatial analytics Perform single-layer and multiple-layer spatial analyses Who this book is for This book is for anyone looking to leverage their SQL knowledge to perform geospatial analysis. GIS analysts, data analysts, and data scientists with a basic understanding of both geospatial analysis and SQL will find this book useful.

Learn to write SQL queries to select and analyze data, and improve your ability to manipulate data. This book will help you take your existing skills to the next level. Author Mark Simon kicks things off with a quick review of basic SQL knowledge, followed by a demonstration of how efficient SQL databases are designed and how to extract just the right data from them. You'll then learn about each individual table's structure and how to work with the relationships between tables. As you progress through the book, you will learn more sophisticated techniques such as using common table expressions and subqueries, analyzing your data using aggregate and windowing functions, and how to save queries in the form of views and other methods. This book employs an accessible approach to work through a realistic sample, enabling you to learn concepts as they arise to improve parts of the database or to work with the data itself. After completing this book, you will have a more thorough understanding of database structure and how to use advanced techniques to extract, manage, and analyze data. What Will You Learn Gain a stronger understanding of database design principles, especially individual tablesUnderstand the relationships between tablesUtilize techniques such as views, subqueries, common table expressions, and windowing functions Who Is This Book For: SQL Databases users who want to improve their knowledge and techniques.

Daten und Datenbanken sind quasi überall. Mit der Standardabfragesprache SQL können Daten in relationalen Datenbanken einfach, strukturiert und zielsicher abgefragt werden. Erfahren Sie in diesem Buch, das kein Vorwissen voraussetzt, wie Sie Datenbanken erstellen, Daten ordnen und abfragen und wie Sie SQL-Anweisungen in Programme und Websites einbinden. Nutzen Sie dieses Buch auch als Nachschlagewerk. Ganz wichtig: Sie lernen auch, wie Sie Ihre Datenbanken und Daten schützen und wie Sie typische Fehler vermeiden.

Perform fast interactive analytics against different data sources using the Trino high-performance distributed SQL query engine. In the second edition of this practical guide, you'll learn how to conduct analytics on data where it lives, whether it's a data lake using Hive, a modern lakehouse with Iceberg or Delta Lake, a different system like Cassandra, Kafka, or SingleStore, or a relational database like PostgreSQL or Oracle.Analysts, software engineers, and production engineers learn how to manage, use, and even develop with Trino and make it a critical part of their data platform. Authors Matt Fuller, Manfred Moser, and Martin Traverso show you how a single Trino query can combine data from multiple sources to allow for analytics across your entire organization.Explore Trino's use cases, and learn about tools that help you connect to Trino for querying and processing huge amounts of dataLearn Trino's internal workings, including how to connect to and query data sources with support for SQL statements, operators, functions, and moreDeploy and secure Trino at scale, monitor workloads, tune queries, and connect more applicationsLearn how other organizations apply Trino successfully

With databases lurking in the background of every website, knowing how to manage them with MySQL is a no-brainer. This practical, hands-on introduction teaches readers all they need to know.MySQL Crash Course is a fast-paced, no-nonsense introduction to relational database development. It's filled withpractical examples and expert advice that will have you up and running quickly.You'll learn the basics of SQL, how to create a database, craft SQL queries to extract data, and work with events,procedures, and functions. You'll see how to add constraints to tables to enforce rules about permitted data and useindexes to accelerate data retrieval. You'll even explore how to call MySQL from PHP, Python, and Java.Three final projects will show you how to build a weather database from scratch, use triggers to prevent errors in anelection database, and use views to protect sensitive data in a salary database.You'll also learn how to:Query database tables for specific information, order the results, comment SQL code, and deal with null valuesDefine table columns to hold strings, integers, and dates, and determine what data types to useJoin multiple database tables as well as use temporary tables, common table expressions, derived tables, andsubqueriesAdd, change, and remove data from tables, create views based on specific queries, write reusable stored routines, and automate and schedule eventsThe perfect quick-start resource for database developers, MySQL Crash Course will arm you with the tools you needto build and manage fast, powerful, and secure MySQL-based data storage systems.

Written by a team of well-known PostgreSQL experts, this new edition will cover all the latest updates of PostgreSQL 16 including 12+ new and improved recipes on logging, monitoring, security and high-performance Purchase of the print or Kindle book includes a free PDF eBookKey FeaturesSkill-up as a database administrator by achieving improved query performance, backup, and recovery management, setting up replication and so onGet to grips with the essentials of database management with a recipe-based approach using the latest features of PostgreSQL 16New and updated recipes on crucial PostgreSQL topics like Monitoring, Logging, Scalability and so onBook DescriptionPostgreSQL has seen a huge increase in its customer base in the past few years and is becoming one of the go-to solutions for anyone who has a database-specific challenge. This PostgreSQL book touches on all the fundamentals of Database Administration in a problem-solution format. It is intended to be the perfect desk reference guide. This new edition focuses on recipes based on the new PostgreSQL 16 release. The additions include handling complex batch loading scenarios with the SQL MERGE statement, security improvements, running Postgres on Kubernetes or with TPA and Ansible, and more. This edition also focuses on certain performance gains, such as query optimization, and the acceleration of specific operations, such as sort. It will help you understand roles, ensuring high availability, concurrency, and replication. It also draws your attention to aspects like validating backups, recovery, monitoring, and scaling aspects. This book will act as a one-stop solution to all your real-world database administration challenges. By the end of this book, you will be able to manage, monitor, and replicate your PostgreSQL 16 database for efficient administration and maintenance with the best practices from experts.What you will learnDiscover how to improve batch data loading with the SQL MERGE statementUse logical replication to apply large transactions in parallelImprove your back up and recovery performance with server-side compressionTackle basic to high-end and real-world PostgreSQL challenges with practical recipesMonitor and fine-tune your database with easeLearn to navigate the newly introduced features of PostgreSQL 16Efficiently secure your PostgreSQL database with new and updated featuresWho this book is forThis Postgres book is for database administrators, data architects, database developers, and anyone with an interest in planning and running live production databases using PostgreSQL 16. Those looking for hands-on solutions to any problem associated with PostgreSQL 16 administration will also find this book useful. Some experience with handling PostgreSQL databases will help you to make the most out of this book, however, it is a useful resource even if you are just beginning your Postgres journey.

If you were handed two different but related sets of data, what tools would you use to find the matches? What if all you had was SQL SELECT access to a database? In this practical book, author Jim Lehmer provides best practices, techniques, and tricks to help you import, clean, match, score, and think about heterogeneous data using SQL.DBAs, programmers, business analysts, and data scientists will learn how to identify and remove duplicates, parse strings, extract data from XML and JSON, generate SQL using SQL, regularize data and prepare datasets, and apply data quality and ETL approaches for finding the similarities and differences between various expressions of the same data.Full of real-world techniques, the examples in the book contain working code. You'll learn how to:Identity and remove duplicates in two different datasets using SQLRegularize data and achieve data quality using SQLExtract data from XML and JSONGenerate SQL using SQL to increase your productivityPrepare datasets for import, merging, and better analysis using SQLReport results using SQLApply data quality and ETL approaches to finding similarities and differences between various expressions of the same data

This textbook offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques and examine upcoming innovations.In the first five chapters, the authors analyze in detail the management, modeling, languages, security, and architecture of relational databases, graph databases, and document databases. Moreover, an overview of other SQL- and NoSQL-based database approaches is provided. In addition to classic concepts such as the entity and relationship model and its mapping in SQL database schemas, query languages or transaction management, other aspects for NoSQL databases such as non-relational data models, document and graph query languages (MQL, Cypher), the Map/Reduce procedure, distribution options (sharding, replication) or the CAP theorem (Consistency, Availability, Partition Tolerance) are explained.This 2nd English edition offers a new in-depth introduction to document databases with a method for modeling document structures, an overview of the document-oriented MongoDB query language MQL as well as security and architecture aspects. The topic of database security is newly introduced as a separate chapter and analyzed in detail with regard to data protection, integrity, and transactions. Texts on data management, database programming, and data warehousing and data lakes have been updated. In addition, the book now explains the concepts of JSON, JSON schema, BSON, index-free neighborhood, cloud databases, search engines and time series databases.The book includes more than 100 tables, examples and illustrations, and each chapter offers a list of resources for further reading. It conveys an in-depth comparison of relational and non-relational approaches and shows how to undertake development for big data applications. This way, it benefits students and practitioners working across the broad field of data science and applied information technology.

Learn the basics of writing SQL scripts. Using Standard SQL as the starting point, this book teaches writing SQL in various popular dialects, including PostgreSQL, MySQL/MariaDB, Microsoft SQL Server, Oracle, and SQLite.The book starts with a general introduction to writing SQL and covers the basic concepts. Author Mark Simon then covers database principles, and how database tables are designed. He teaches you how to filter data using the WHERE clause, and you will work with NULL, numbers, dates, and strings. You will also understand sorting results using the ORDER BY clause, sorting by calculated columns, and limiting the number of results. By the end of the book, you will know how to insert and update data, and summarize data with aggregate functions and groups. Three appendices cover differences between SQL dialects, working with tables, and a crash course in PDO.What You Will LearnFilter, sort, andcalculate dataSummarize data with aggregate functionsModify data with insert, update, and delete statementsStudy design principles in developing a databaseWho This Book Is ForDevelopers and analysts working with SQL, as well as web developers who want a stronger understanding of working with databases

Learn the most important SQL skills and apply them in your job—quickly and efficiently! SQL (Structured Query Language) is the modern language that almost every relational database system supports for adding data, retrieving data, and modifying data in a database. Although basic visual tools are available to help end-users input common commands, data scientists, business intelligence analysts, Cloud engineers, Machine Learning programmers, and other professionals routinely need to query a database using SQL. Job Ready SQL provides you with the foundational skills necessary to work with data of any kind. Offering a straightforward ‘learn-by-doing'approach, this concise and highly practical guide teaches you all the basics of SQL so you can apply your knowledge in real-world environments immediately. Throughout the book, each lesson includes clear explanations of key concepts and hands-on exercises that mirror real-world SQL tasks. Teaches the basics of SQL database creation and management using easy-to-understand language Helps readers develop an understanding of fundamental concepts and more advanced applications such as data engineering and data science Discusses the key types of SQL commands, including Data Definition Language (DDL) commands and Data Manipulation Language (DML) commands Includes useful reference information on querying SQL-based databasesJob Ready SQL is a must-have resource for students and working professionals looking to quickly get up to speed with SQL and take their relational database skills to the next level.

This new edition will help you learn PostgreSQL from scratch with the latest version, providing a complete focused view on aspects like configuration, high performance, partitioning, backup, server-side programming and replication. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesLearn the fundamentals of PostgreSQL 16, including SQL statements, replication, and securityEnhance your learning journey with the provided Docker images for practical hands-on exercises and tests at the end of each chapterGet new and improved examples, use-cases, and scenarios specifically for concepts like partitioning, replication, back-up and restore, cluster configuration, monitoring and othersBook DescriptionThe latest edition of this PostgreSQL book will help you to start using PostgreSQL from absolute scratch, helping you to quickly understand the internal workings of the database. With a structured approach and practical examples, go on a journey that covers the basics, from SQL statements and how to run server-side programs, to configuring, managing, securing, and optimizing database performance. This new edition will not only help you get to grips with all the recent changes within the PostgreSQL ecosystem but will also dig deeper into concepts like partitioning and replication with a fresh set of examples. The book is also equipped with Docker images for each chapter which makes the learning experience faster and easier. Starting with the absolute basics of databases, the book sails through to advanced concepts like window functions, logging, auditing, extending the database, configuration, partitioning, and replication. It will also help you seamlessly migrate your existing database system to PostgreSQL and contains a dedicated chapter on disaster recovery. Each chapter ends with practice questions to test your learning at regular intervals. By the end of this book, you will be able to install, configure, manage, and develop applications against a PostgreSQL database.What you will learnGain a deeper understanding of PostgreSQL internals like transactions, MVCC, security and replicationEnhance data management with PostgreSQL's latest partitioning featuresChoose the right replication strategy for your databaseSee concrete examples of how to migrate data from another database, perform backups and restores, monitor your PostgreSQL installation and moreEnsure security and compliance with schemas and user privilegesCreate customized database functions and extensionsGet to grips with server-side programming, window functions, and triggersWho this book is forLearning PostgresSQL 16 book is for anyone interested in learning about the PostgreSQL database from scratch. Anyone looking to build robust data warehousing applications and scale the database for high-availability and performance using the latest features of PostgreSQL will also find this book useful. Although prior knowledge of PostgreSQL is not required, familiarity with databases is expected.

SQL (Structured Query Language) is a query language for relational database management. In this book, you will discover the basics of its organization and its characteristics. Using the PhpMyAdmin environment, you will learn how to create a database, tables, columns, constraints, keys (primary and foreign), joins and many other specificities. SQL has a small set of statements and enables you to select records from one or more tables using the universal SELECT command. Other expressions like UPDATE, INSERT or DELETE will help you to update, insert or delete records. You will also study several functions that manipulate text, dates and numbers.Thanks to the exercises in this book, you will understand how a small set of statements can perform accurate actions and enhance your skills.Enjoy your reading!ABOUT THE AUTHORRémy Lentzner has been an IT trainer since 1985. Specialized in mastering office automation tools, he supports companies in the professional training of their employees. Self-taught, he has several computer books to his credit.

Learn how to write and design simple and efficient T-SQL code. This is a hands-on book that teaches you how to write better T-SQL with examples and straightforward explanations. New in this edition is coverage of Parameter Sensitive Plan (PSP) optimization, Azure Synapse Link for real-time analytics, integration with S3-compatible object storage, and SQL Ledger tables based on blockchain. You'll learn to improve your T-SQL design in ways that provide faster performance, stronger security, and easier comprehension. The book identifies common anti-patterns in writing T-SQL and instructs you on how to change your code so you can be more confident in writing T-SQL code that is reliable and performs well.Pro T-SQL 2022 is focused on the problems that developers are faced with and must solve in delivering successful applications. The content begins from a foundation of writing T-SQL that is clear and understandable. The book then takes youthrough writing SQL that performs well, is easy to manage through coding standards and version control, can be maintained and modified as business requirements change over time, scales as your business grows, and takes advantage of the full range of security features built into the SQL Server and Azure SQL database engines. What You Will LearnChoose the correct data types and database objects when designing your T-SQLWrite T-SQL that accesses your data efficiently and uses hardware effectivelyImplement source control and testing methods to streamline your deployment process.Design T-SQL that is flexible and can be enhanced or modified with little effortPlan for long-term data management, including growth and purging of older dataEnhance database security through features such as encryption, data masking, row-level security, and the SQL Ledger blockchain table typeWho This Book Is ForDatabase developers who want to improve the efficiency of their applications with better T-SQL; developers who want to know more about T-SQL so they can be prepared to solve complex problems more easily; data professionals who want to write high-quality T-SQL that performs well, is flexible to changing needs, and is easy for others to understand

Level up your skill set to the latest that Oracle Database can offer. This book introduces features that are not well known that can transform your development efforts. You'll discover built-in functionality that can save you massive amounts of time that otherwise would be spent reinventing the wheel. You'll find that what used to take a lot of programming some years ago can be done with less code in a more reliable way today. Anyone using Oracle Database without the knowledge in this book is leaving valuable functionality–that their company has paid for–on the table, and this book opens the door to that functionality so that you can deliver reliable and performant solutions faster and more easily than ever.Part I looks at features in SQL and PL/SQL that are underused and not well known. You'll learn about new join types, pattern matching across rows, Top N pagination (useful in reporting!), qualified expressions, and enhancements to iterators that reduce code complexity and make your logic easier to understand.Part II covers how and when to invoke PL/SQL from SQL while maintaining performance. You'll learn about SQL macro functions for creating reusable SQL fragments, polymorphic table functions with return types determined by incoming argument types, and constructing and parsing JSON documents for data interchange with other systems.Part III introduces a vast array of built-in functionality that Oracle provides that is just waiting to be used. Edition-based redefinition enables zero-downtime application and schema upgrades. Data redaction enables easier compliance with privacy laws and similar regulations by protecting sensitive data from those who have no need to see it. Virtual private databases provide the appearance of giving each user their own database, again helping to secure sensitive data. These features are just a taste of what the book provides. Soon you'll be improving your skillsand wondering why you ever worked so hard to solve problems that Oracle Database already solves for you.What You Will LearnWrite more powerful code by incorporating underused features in SQL and PL/SQLOptimize your integration between SQL and PL/SQL for best performanceTake advantage of enhanced set operators, lateral joins, row-based pattern matching, and other advanced features in SQLMake your code easier to understand through your use of newer PL/SQL features, such as qualified expressions and iterator enhancementsIntegrate with web services and external data sources directly from the databaseCreate and parse JSON documents for easy data exchange and flexible schema designWho This Book Is ForAny developer who is writing SQL or PL/SQL, PL/SQL experts who want to level up their knowledgeand skills to the latest features that Oracle Database provides, and developers who don't want to write their own solutions only to find out later that they've wasted their time by building something that Oracle Database provides out of the box

Databases have become an integral part of modern-day life. We live in an information-driven society and database technology has a direct impact on our daily lives. Decisions are routinely made by organizations based on the information collected and stored in the databases. Because databases play such an important role in business and society, database programming is a key skill.SQL Server Database Programming with C#: Desktop and Web Applications is for college students and software programmers who want to develop practical and commercial skills in database programming with C# or Visual C#.NET 2022 as well as the relational database Microsoft SQL Server 2019. The book explains the practical considerations and applications in database programming with Visual C# 2022 and provides realistic examples and detailed explanations. A direct writing style is combined with real-world examples to provide readers with a clear picture of how to handle database programming issues in the Visual C#.NET 2022 environment.Highlights include: A complete sample database CSE_DEPT, built with Microsoft SQL Server 2019 Express, is provided and used for the entire book. Step-by-step, detailed illustrations and descriptions show how to design and build a practical relational database. Both fundamental and advanced database-programming techniques are covered to benefit beginning students and experienced programmers. An advanced database query technique, LINQ API, which includes LINQ to Objects, LINQ to DataSet, LINQ to SQL, LINQ to Entities and LINQ to XML, is discussed, analyzed, and implemented in actual projects with line-by-line explanations. Homework and class projects are provided for each chapter to strengthen and improve students'abilities to learn and understand the topics they studied. PowerPoint teaching slides and selected homework solutions help instructors to teach and organize their classes easily and effectively. Useful and practical, this textbook is an intuitive guide on how to develop and build professional and practical database applications.

For MySQL, the price of popularity comes with a flood of questions from users on how to solve specific data-related issues. That's where this cookbook comes in. When you need quick solutions or techniques, this handy resource provides scores of short, focused pieces of code, hundreds of worked-out examples, and clear, concise explanations for programmers who don't have the time (or expertise) to resolve MySQL problems from scratch.In this updated fourth edition, authors Sveta Smirnova and Alkin Tezuysal provide more than 200 recipes that cover powerful features in both MySQL 5.7 and 8.0. Beginners as well as professional database and web developers will dive into topics such as MySQL Shell, MySQL replication, and working with JSON.You'll learn how to:Connect to a server, issue queries, and retrieve resultsRetrieve data from the MySQL ServerStore, retrieve, and manipulate stringsWork with dates and timesSort query results and generate summariesAssess the characteristics of a datasetWrite stored functions and proceduresUse stored routines, triggers, and scheduled eventsPerform basic MySQL administration tasksUnderstand MySQL monitoring fundamentals

SQL is the ubiquitous language for software developers working with structured data. Most developers who rely on SQL are experts in their favorite language (such as Java, Python, or Go), but they're not experts in SQL. They often depend on antipatterns - solutions that look right but become increasingly painful to work with as you uncover their hidden costs. Learn to identify and avoid many of these common blunders. Refactor an inherited nightmare into a data model that really works. Updated for the current versions of MySQL and Python, this new edition adds a dozen brand new mini-antipatterns for quick wins. No matter which platform, framework, or language you use, the database is the foundation of your application, and the SQL database language is the standard for working with it. Antipatterns are solutions that look simple at the surface, but soon mire you down with needless work. Learn to identify these traps, and craft better solutions for the often-asked questions in this book. Avoid the mistakes that lead to poor performance and quality, and master the principles that make SQL a powerful and flexible tool for handling data and logic. Dive deep into SQL and database design, and learn to recognize the most common missteps made by software developers in database modeling, SQL query logic, and code design of data-driven applications. See practical examples of misconceptions about SQL that can lure software projects astray. Find the greatest value in each group of data. Understand why an intersection table may be your new best friend. Store passwords securely and don't reinvent the wheel. Handle NULL values like a pro. Defend your web applications against the security weakness of SQL injection. Use SQL the right way - it can save you from headaches and needless work, and let your application really shine! What You Need: The SQL examples use the MySQL 8.0 flavor, but other popular brands of RDBMS are mentioned. Other code examples use Python 3.9+ or Ruby 2.7+.

Over the past two decades, the booming ecommerce and fintech industries have become a breeding ground for fraud. Organizations that conduct business online are constantly engaged in a cat-and-mouse game with these invaders. In this practical book, Gilit Saporta and Shoshana Maraney draw on their fraud-fighting experience to provide best practices, methodologies, and tools to help you detect and prevent fraud and other malicious activities.Data scientists, data analysts, and fraud analysts will learn how to identify and quickly respond to attacks. You'll get a comprehensive view of typical incursions as well as recommended detection methods. Online fraud is constantly evolving. This book helps experienced researchers safely guide and protect their organizations in this ever-changing fraud landscape.With this book, you will:Examine current fraud attacks and learn how to mitigate themFind the right balance between preventing fraud and providing a smooth customer experienceShare insights across multiple business areas, including ecommerce, banking, cryptocurrency, anti-money laundering, and ad techEvaluate potential risks for a new vertical, market, or productTrain and mentor teams by boosting collaboration and kickstarting brainstorming sessionsGet a framework of fraud methods, fraud-fighting analytics, and data science methodologies

A Comprehensive Study of SQL - Practice and Implementation is designed as a textbook and provides a comprehensive approach to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. It demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application.Features The book provides a complete collection of modeling techniques, beginning with fundamentals and gradually progressing through increasingly complex real-world case studies It explains how to build, populate, and administer high-performance databases and develop robust SQL-based applications It also gives a solid foundation in best practices and relational theory The book offers self-contained lessons on key SQL concepts or techniques at the end of each chapter using numerous illustrations and annotated examples This book is aimed primarily at advanced undergraduates and graduates with a background in computer science and information technology. Researchers and professionals will also find this book useful.

Take your first steps to becoming a fully qualified data analyst by learning how to explore complex datasetsKey FeaturesMaster each concept through practical exercises and activitiesDiscover various statistical techniques to analyze your dataImplement everything you've learned on a real-world case study to uncover valuable insightsBook DescriptionEvery day, businesses operate around the clock, and a huge amount of data is generated at a rapid pace. This book helps you analyze this data and identify key patterns and behaviors that can help you and your business understand your customers at a deep, fundamental level. SQL for Data Analytics, Third Edition is a great way to get started with data analysis, showing how to effectively sort and process information from raw data, even without any prior experience. You will begin by learning how to form hypotheses and generate descriptive statistics that can provide key insights into your existing data. As you progress, you will learn how to write SQL queries to aggregate, calculate, and combine SQL data from sources outside of your current dataset. You will also discover how to work with advanced data types, like JSON. By exploring advanced techniques, such as geospatial analysis and text analysis, you will be able to understand your business at a deeper level. Finally, the book lets you in on the secret to getting information faster and more effectively by using advanced techniques like profiling and automation. By the end of this book, you will be proficient in the efficient application of SQL techniques in everyday business scenarios and looking at data with the critical eye of analytics professional.What you will learnUse SQL to clean, prepare, and combine different datasetsAggregate basic statistics using GROUP BY clausesPerform advanced statistical calculations using a WINDOW functionImport data into a database to combine with other tablesExport SQL query results into various sourcesAnalyze special data types in SQL, including geospatial, date/time, and JSON dataOptimize queries and automate tasksThink about data problems and find answers using SQLWho this book is forIf you're a database engineer looking to transition into analytics or a backend engineer who wants to develop a deeper understanding of production data and gain practical SQL knowledge, you will find this book useful. This book is also ideal for data scientists or business analysts who want to improve their data analytics skills using SQL. Basic familiarity with SQL (such as basic SELECT, WHERE, and GROUP BY clauses) as well as a good understanding of linear algebra, statistics, and PostgreSQL 14 are necessary to make the most of this SQL data analytics book.

Master critical skills needed to deploy and use Databricks SQL and elevate your BI from the warehouse to the lakehouse with confidenceKey FeaturesLearn about business intelligence on the lakehouse with features and functions of Databricks SQLMake the most of Databricks SQL by getting to grips with the enablers of its data warehousing capabilitiesA unique approach to teaching concepts and techniques with follow-along scenarios on real datasetsBook DescriptionIn this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark™, Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics. This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You'll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse – data security, governance, and management of the computational power of the lakehouse. You'll also delve into the core technology enablers of Databricks SQL – Delta Lake and Photon. Finally, you'll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse. By the end of this book, you'll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse.What you will learnUnderstand how Databricks SQL fits into the Databricks Lakehouse PlatformPerform everyday analytics with Databricks SQL Workbench and business intelligence toolsOrganize and catalog your data assetsProgram the data security model to protect and govern your dataTune SQL warehouses (computing clusters) for optimal query experienceTune the Delta Lake storage format for maximum query performanceDeliver extreme performance with the Photon query execution engineImplement advanced data ingestion patterns with Databricks SQLWho this book is forThis book is for business intelligence practitioners, data warehouse administrators, and data engineers who are new to Databrick SQL and want to learn how to deliver high-quality insights unhindered by the scale of data or infrastructure. This book is also for anyone looking to study the advanced technologies that power Databricks SQL. Basic knowledge of data warehouses, SQL-based analytics, and ETL processes is recommended to effectively learn the concepts introduced in this book and appreciate the innovation behind the platform.

If you work with SQL Server, dbatools is a lifesaver. This book will show you how to use this free and open source PowerShell module to automate just about every SQL server task you can imagine—all in just one month!In Learn dbatools in a Month of Lunches you will learn how to: Perform instance-to-instance and customized migrations Automate security audits, tempdb configuration, alerting, and reporting Schedule and monitor PowerShell tasks in SQL Server Agent Bulk-import any type of data into SQL Server Install dbatools in secure environments Written by a group of expert authors including dbatools creator Chrissy LeMaire, Learn dbatools in a Month of Lunches teaches you techniques that will make you more effective—and efficient—than you ever thought possible. In twenty-eight lunchbreak lessons, you'll learn the most important use cases of dbatools and the favorite functions of its core developers. Stabilize and standardize your SQL server environment, and simplify your tasks by building automation, alerting, and reporting with this powerful tool. About the technology For SQL Server DBAs, automation is the key to efficiency. Using the open-source dbatools PowerShell module, you can easily execute tasks on thousands of database servers at once—all from the command line. dbatools gives you over 500 pre-built commands, with countless new options for managing SQL Server at scale. There's nothing else like it. About the book Learn dbatools in a Month of Lunches teaches you how to automate SQL Server using the dbatools PowerShell module. Each 30-minute lesson introduces a new automation that will make your daily duties easier. Following the expert advice of dbatools creator Chrissy LeMaire and other top community contributors, you'll learn to script everything from backups to disaster recovery. What's inside Performing instance-to-instance and customized migrations Automating security audits, best practices, and standardized configurations Administering SQL Server Agent including running PowerShell scripts effectively Bulk-importing many types of data into SQL Server Executing advanced tasks and increasing efficiency for everyday administration About the reader For DBAs, accidental DBAs, and systems engineers who manage SQL Server. About the author Chrissy LeMaire is a GitHub Star and the creator of dbatools. Rob Sewell is a data engineer and a passionate automator. Jess Pomfret and Cláudio Silva are data platform architects. All are Microsoft MVPs. Table of Contents 1 Before you begin 2 Installing dbatools 3 The dbatools lab 4 A gentle introduction to dbatools commands 5 Writing to SQL Server 6 Finding SQL Server instances on your network 7 Inventorying your SQL estate 8 Registered Servers 9 Logins and users 10 Backups 11 Restore 12 Snapshots 13 Install and update SQL Server 14 Preparing for disaster 15 Performing your first advanced SQL Server instance migration, part 1 16 Performing your first advanced SQL Server instance migration, part 2 17 High availability and disaster recovery 18 PowerShell and SQL Server Agent 19 SQL Server Agent administration 20 Creating and working with SQL Server Agent objects 21 Data masking 22 DevOps automation 23 Tracing SQL Server activity 24 Security and encryption 25 Data compression 26 Validating your estate with dbachecks 27 Working in the cloud 28 dbatools configurations and logging 29 Never the end

Get a practical introduction to CockroachDB. This book starts with installation and foundational concepts and takes you through to creating clusters that are ready for production environments. You will learn how to create, optimize, and operate CockroarchDB clusters in single and multi-region environments. You will encounter anti-patterns to avoid, as well as testing techniques for integration and load testing. The book explains why CockroachDB exists, goes over its major benefits, and quickly transitions into installing and configuring CockroachDB. Just as quickly, you'll be creating databases, getting data into those databases, and querying that data from your applications. You'll progress to data privacy laws such as GDPR and CCPA, and learn how CockroachDB's global distribution features can help you comply with ever-shifting data sovereignty regulations. From there, you'll move into deployment topologies, guidance on integration testing and load testing, best practices, and a readiness checklist for production deployments. What You Will LearnDeploy and interact with CockroachDBDesign and optimize databases and tablesChoose the correct data types for modeling your dataProtect data with database and table encryptionAchieve compliance with international data privacy regulationsScale your databases in a way that enhances their performanceMonitor changes to the data and health of your databasesWho This Book Is ForDevelopers and database administrators who want to provide a secure, reliable, and effortlessly distributed home for their data; those who wish to use a modern tool to tackle the kinds of scaling challenges that have previously required dedicated teams of people to solve; anyone who wants to leverage their database to solve non-trivial, real-world challenges while protecting their data and users

Know how to use the new capabilities and cloud integrations in SQL Server 2022. This book covers the many innovative integrations with the Azure Cloud that make SQL Server 2022 the most cloud-connected edition ever. The book covers cutting-edge features such as the blockchain-based Ledger for creating a tamper-evident record of changes to data over time that you can rely on to be correct and reliable. You'll learn about built-in Query Intelligence capabilities to help you to upgrade with confidence that your applications will perform at least as fast after the upgrade than before. In fact, you'll probably see an increase in performance from the upgrade, with no code changes needed. Also covered are innovations such as contained availability groups and data virtualization with S3 object storage.New cloud integrations covered in this book include Microsoft Azure Purview and the use of Azure SQL for high availability and disaster recovery. The bookcovers Azure Synapse Link with its built-in capabilities to take changes and put them into Synapse automatically.Anyone building their career around SQL Server will want this book for the valuable information it provides on building SQL skills from edge to the cloud. ​What You Will LearnKnow how to use all of the new capabilities and cloud integrations in SQL Server 2022Connect to Azure for disaster recovery, near real-time analytics, and securityLeverage the Ledger to create a tamper-evident record of data changes over timeUpgrade from prior releases and achieve faster and more consistent performance with no code changesAccess data and storage in different and new formats, such as Parquet and S3, without moving the data and using your existing T-SQL skillsExplore new application scenarios using innovations with T-SQL in areassuch as JSON and time seriesWho This Book Is ForSQL Server professionals who want to upgrade their skills to the latest edition of SQL Server; those wishing to take advantage of new integrations with Microsoft Azure Purview (governance), Azure Synapse (analytics), and Azure SQL (HA and DR); and those in need of the increased performance and security offered by Query Intelligence and the new Ledger

Get well-versed with ready-to-use techniques for creating high-performance queries and applicationsKey FeaturesSpeed up queries and dramatically improve application performance by both understanding query engine internals and practical query optimizationUnderstand how the query optimizer worksLearn about intelligent query processing and what is new in SQL Server 2022Book DescriptionSQL Server is a relational database management system developed by Microsoft. As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications. This book starts by describing the inner workings of the query optimizer, and will enable you to use this knowledge to write better queries and provide the query engine with all the information it needs to produce efficient execution plans. As you progress, you'll get practical query optimization tips for troubleshooting underperforming queries. The book will also guide you through intelligent query processing and what is new in SQL Server 2022. Query performance topics such as the Query Store, In-Memory OLTP and columnstore indexes are covered as well. By the end of this book, you'll be able to get the best possible performance for your queries and applications.What you will learnTroubleshoot queries using methods including extended events, SQL Trace, and dynamic management viewsUnderstand how the execution engine and query operators workSpeed up queries and improve app performance by creating the right indexesDetect and fix cardinality estimation errors by examining query optimizer statisticsMonitor and promote both plan caching and plan reuse to improve app performanceTroubleshoot and improve query performance by using the Query StoreImprove the performance of data warehouse queries by using columnstore indexesHandle query processor limitations with hints and other methodsWho this book is forThis book is for SQL Server developers who are struggling with slow query execution, database administrators who are tasked with troubleshooting slow application performance, and database architects who design SQL Server databases in support of line-of-business and data warehousing applications.

For programmers, analysts, and database administrators, this Nutshell guide is the essential reference for the SQL language used in today's most popular database products. This new fourth edition clearly documents SQL commands according to the latest ANSI/ISO standard and details how those commands are implemented in Microsoft SQL Server 2019 and Oracle 19c, as well as in the MySQL 8, MariaDB 10.5, and PostgreSQL 14 open source database products.You'll also get a concise overview of the relational database management system (RDBMS) model and a clear-cut explanation of foundational RDBMS concepts--all packed into a succinct, comprehensive, and easy-to-use format.Sections include:Background on the relational database model, including current and previous SQL standardsFundamental concepts necessary for understanding relational databases and SQL commandsAn alphabetical command reference to SQL statements, according to the SQL:2016 ANSI standardThe implementation of each command by MySQL, Oracle, PostgreSQL, and SQL ServerAn alphabetical reference of the ANSI SQL:2016 functions and constructs as well as the vendor implementationsPlatform-specific functions unique to each implementation

In real-world applications, we see large amounts of data being generated on an hourly basis. How do you think we can handle this data? To solve our problems with large-sized data, MySQL shines bright as it is built to handle data pools of all sizes with ease. Mastering MySQL for Web: A Beginner's Guide attempts to explain why MySQL is considered to be one of the most popular relative databases on the market, scoring great points at critical parameters such as the number of downloads, mentions in search results, and frequency of technical discussions on Internet forums. We shall look at how fast, scalable, and easy to use this database management system is compared to Microsoft SQL Server and Oracle Database. MySQL is an open-source relational database management system that works on many platforms in conjunction with PHP scripts to create dynamic server-side or web-based enterprise applications. It provides multi-user access to support many storage engines and is backed by Oracle. In this Mastering MySQL for Web guide, you will learn about database fundamentals, MySQL Workbench, MySQL basics, Normalization, Data sorting in MySQL, MySQL functions, Advanced MySQL operations, and many more exciting concepts about MySQL. This book serves as a blueprint to the entire lifecycle of a MySQL Cluster installation, starting with the installation and initial configuration, moving through online configuration and schema changes, and concluding with online upgrades. It aims to teach, step by step, about MySQL compatibility with various models, capacity to produce new models, support for common modeling activities, and management of relationships and dependencies between models and their items. In addition, this book walks you through the most common tools for generating backups in several formats and shows what types and characteristics are there. Learning MySQL with the help of our Mastering series will help you to quickly understand how database management systems operate in general. It can also enhance your logical thinking and problem-solving ability. Moreover, SQL skills are in high demand because almost every technical role in such industries as Finance, Accounting, Web Development, and Digital Marketing require an understanding of SQL. Therefore, no need to wait anymore, go forward and learn SQL to advance your skill set! Learn more about our other Mastering titles at: https://www.routledge.com/Mastering-Computer-Science/book-series/MCS

Get your daily work done efficiently using this comprehensive guide for SQL Server DBAs that covers all that a practicing database administrator needs to know. Updated for SQL Server 2022, this edition includes coverage of new features, such as Ledger, which provides an immutable record of table history to protect you against malicious data tampering, and integration with cloud providers to support hybrid cloud scenarios. You'll also find new content on performance optimizations, such as query pan feedback, and security controls, such as new database roles, which are restructured for modern ways of working. Coverage also includes Query Store, installation on Linux, and the use of containerized SQL.Pro SQL Server 2022 Administration takes DBAs on a journey that begins with planning their SQL Server deployment and runs through installing and configuring the instance, administering and optimizing database objects, and ensuring that data issecure and highly available. Readers will learn how to perform advanced maintenance and tuning techniques, and discover SQL Server's hybrid cloud functionality.This book teaches you how to make the most of new SQL Server 2022 functionality, including integration for hybrid cloud scenarios. The book promotes best-practice installation, shows how to configure for scalability and high availability, and demonstrates the gamut of database-level maintenance tasks, such as index maintenance, database consistency checks, and table optimizations. What You Will LearnIntegrate SQL Server with Azure for hybrid cloud scenariosAudit changes and prevent malicious data changes with SQL Server's LedgerSecure and encrypt data to protect against embarrassing data breachesEnsure 24 x 7 x 365 access through high availability and disaster recovery features in today's hybrid worldUse Azure tooling, including Arc, to gain insight into and manage your SQL Server enterpriseInstall and configure SQL Server on Windows, Linux, and in containers Perform routine maintenance tasks, such as backups and database consistency checks Optimize performance and undertake troubleshooting in the Database EngineWho This Book Is ForSQL Server DBAs who manage on-premise installations of SQL Server. This book is also useful for DBAs who wish to learn advanced features, such as integration with Azure, Query Store, Extended Events, and Policy-Based Management, or those who need to install SQL Server in a variety of environments.

Learn the best way to write SQL in Java by taking control of SQL in your app via a type-safe, dynamic and versatile API that supports almost any type or feature compatible with a database and emphasizes SQL syntax correctnessKey FeaturesWrite complex, type-safe, and dynamic SQL using the powerful jOOQ APITackle complex persistence tasks, such as lazy fetching, R2DBC, transactions, and batching while sustaining high traffic in your modern Java applicationsUse a comprehensive SPI to shape and extend jOOQ according to your needsBook DescriptionjOOQ is an excellent query builder framework that allows you to emulate database-specific SQL statements using a fluent, intuitive, and flexible DSL API. jOOQ is fully capable of handling the most complex SQL in more than 30 different database dialects. jOOQ Masterclass covers jOOQ from beginner to expert level using examples (for MySQL, PostgreSQL, SQL Server, and Oracle) that show you how jOOQ is a mature and complete solution for implementing the persistence layer. You'll learn how to use jOOQ in Spring Boot apps as a replacement for SpringTemplate and Spring Data JPA. Next, you'll unleash jOOQ type-safe queries and CRUD operations via jOOQ's records, converters, bindings, types, mappers, multi-tenancy, logging, and testing. Later, the book shows you how to use jOOQ to exploit powerful SQL features such as UDTs, embeddable types, embedded keys, and more. As you progress, you'll cover trending topics such as identifiers, batching, lazy loading, pagination, and HTTP long conversations. For implementation purposes, the jOOQ examples explained in this book are written in the Spring Boot context for Maven/Gradle against MySQL, Postgres, SQL Server, and Oracle. By the end of this book, you'll be a jOOQ power user capable of integrating jOOQ in the most modern and sophisticated apps including enterprise apps, microservices, and so on.What you will learnEnable the jOOQ Code Generator in any combination of Java and Kotlin, Maven and GradleGenerate jOOQ artifacts directly from database schema, or without touching the real databaseUse jOOQ DSL to write and execute a wide range of queries for different databasesUnderstand jOOQ type-safe queries, CRUD operations, converters, bindings, and mappersImplement advanced SQL concepts such as stored procedures, derived tables, CTEs, window functions, and database viewsImplement jOOQ multi-tenancy, tuning, jOOQ SPI, logging, and testingWho this book is forThis book is for Java developers who write applications that interact with databases via SQL. No prior experience with jOOQ is assumed.

Get the lowdown on CockroachDB, the elastic SQL database built to handle the demands of today's data-driven world. With this practical guide, software developers, architects, and DevOps teams will discover the advantages of building on a distributed SQL database. You'll learn how to create applications that scale elastically and provide seamless delivery for end users while remaining exceptionally resilient and indestructible.Written from scratch for the cloud and architected to scale elastically to handle the demands of cloud native and open source, CockroachDB makes it easier to build and scale modern applications. If you're familiar with distributed systems, you'll quickly discover the benefits of strong data correctness and consistency guarantees as well as optimizations for delivering ultralow latencies to globally distributed end users.With this thorough guide, you'll learn how to:Plan and build applications for distributed infrastructure, including data modeling and schema designMigrate data into CockroachDBRead and write data and run ACID transactions across distributed infrastructureOptimize queries for performance across geographically distributed replicasPlan a CockroachDB deployment for resiliency across single-region and multiregion clustersSecure, monitor, and optimize your CockroachDB deployment

In just 24 lessons of one hour or less, Sams Teach Yourself SQL in 24 Hours helps you use SQL to build effective databases, efficiently retrieve data, and manage everything from performance to security. This Seventh Edition is thoroughly revised and reorganized for faster learning and a deeper understanding of modern SQL development. Based on standardized SQL throughout, it teaches using new sample code based on the free, easy-to-use Oracle Database Express (XE). You'll find more hands-on examples than ever, culminating in an all-new Bonus Exercises Workshop with even more real-world practice. This guide's straightforward, step-by-step approach shows you how to work with database structures, objects, queries, tables, and more. In just hours, you will be applying advanced techniques, from transactions and joins to complex data retrieval using views and subqueries. Step-by-step instructions carefully walk you through the most common SQL tasks. Practical, hands-on examples show you how to apply what you learn. Quizzes and exercises help you test your knowledge and stretch your skills. Notes and tips point out shortcuts and solutions. Learn how to... • Master core relational database concepts, SQL concepts, and language components • Clearly understand your data • Set up databases and plan efficient database designs • Define entities and relationships, establish data structures, and create database objects •'Normalize'raw databases into logically organized tables • Edit relational data and tables and manage transactions • Write effective, well-performing queries • Categorize, summarize, sort, group, and restructure data • Work with dates and times • Join tables in queries, use subqueries, and combine multiple queries • Optimize performance with indexes and other techniques • Administer databases and manage users • Secure databases and data

Grundlagen und Schlüsseltechniken verstehen und mit vielen Beispielen vertiefen Konzepte und typische Arbeitsschritte verständlich und kompakt erklärt Die SQL-Beispiele laufen ohne Änderungen auf MySQL und (ggf. mit geringfügigen Änderungen) auf neueren Versionen von Oracle Database, DB2 und SQL Server Mit SQL Daten von diversen Plattformen und nicht-relationalen Datenbanken verarbeiten SQL-Kenntnisse sind nach wie vor unverzichtbar, um das Beste auf Ihren Daten herauszuholen. In seinem Handbuch vermittelt Alan Beaulieu die nötigen SQL-Grundlagen, um Datenbankanwendungen zu schreiben, administrative Aufgaben durchzuführen und Berichte zu erstellen. Sie finden neue Kapitel zu analytischen Funktionen, zu Strategien für die Arbeit mit großen Datenbanken sowie zu SQL und großen Datenmengen.Jedes Kapitel präsentiert eine in sich geschlossene Lektion zu einem Schlüsselkonzept oder einer Schlüsseltechnik von SQL und nutzt hierfür zahlreiche Abbildungen und kommentierte Beispiele. Durch Übungen vertiefen Sie die erlernten Fähigkeiten.

You may know SQL basics, but are you taking advantage of its expressive power? This second edition applies a highly practical approach to Structured Query Language (SQL) so you can create and manipulate large stores of data. Based on real-world examples, this updated cookbook provides a framework to help you construct solutions and executable examples in several flavors of SQL, including Oracle, DB2, SQL Server, MySQL, and PostgreSQL.SQL programmers, analysts, data scientists, database administrators, and even relatively casual SQL users will find SQL Cookbook to be a valuable problem-solving guide for everyday issues. No other resource offers recipes in this unique format to help you tackle nagging day-to-day conundrums with SQL.The second edition includes:Fully revised recipes that recognize the greater adoption of window functions in SQL implementationsAdditional recipes that reflect the widespread adoption of common table expressions (CTEs) for more readable, easier-to-implement solutionsNew recipes to make SQL more useful for people who aren't database experts, including data scientistsExpanded solutions for working with numbers and stringsUp-to-date SQL recipes throughout the book to guide you through the basics

Jump-start your career as a data scientist—learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that's dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls. You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data. This guide for data scientists differs from other instructional guides on the subject. It doesn't cover SQL broadly. Instead, you'll learn the subset of SQL skills that data analysts and data scientists use frequently. You'll also gain practical advice and direction on'how to think about constructing your dataset.'Gain an understanding of relational database structure, query design, and SQL syntax Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms Review strategies and approaches so you can design analytical datasets Practice your techniques with the provided database and SQL code In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioner's perspective, moving your data scientist career forward!

A typical Oracle database has multiple users working simultaneously. Data is shared amongst the users, and this of course leads to security concerns. This book comes in from the angle of developing and maintaining a secure Oracle database with multiple users. The book shows how data can be shared in an orderly fashion and what a good secure database is. In this book, we assume that you are acquainted with basic Oracle SQL and fundamentals of relational database.

If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite.In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more.Quickly look up how to perform specific tasks using SQLApply the book's syntax examples to your own queriesUpdate SQL queries to work in five different database management systems NEW: Connect Python and R to a relational databaseNEW: Look up frequently asked SQL questions in the'How Do I?'chapter

Here is the expert-level, insider guidance you need on using Azure SQL Database as your back-end data store. This book highlights best practices in everything ranging from full-stack projects to mobile applications to critical, back-end APIs. The book provides instruction on accessing your data from any language and platform. And you learn how to push processing-intensive work into the database engine to be near the data and avoid undue networking traffic. Azure SQL is explained from a developer's point of view, helping you master its feature set and create applications that perform well and delight users.Core to the book is showing you how Azure SQL Database provides relational and post-relational support so that any workload can be managed with easy accessibility from any platform and any language. You will learn about features ranging from lock-free tables to columnstore indexes, and about support for data formats ranging from JSON and key-values to the nodes and edges in the graph database paradigm. Reading this book prepares you to deal with almost all data management challenges, allowing you to create lean and specialized solutions having the elasticity and scalability that are needed in the modern world. What You Will LearnMaster Azure SQL Database in your development projects from design to the CI/CD pipelineAccess your data from any programming language and platformCombine key-value, JSON, and relational data in the same databasePush data-intensive compute work into the database for improved efficiencyDelight your customers by detecting and improving poorly performing queriesEnhance performance through features such as columnstore indexes and lock-free tablesBuild confidence in your mastery of Azure SQL Database's feature setWho This Book Is ForDevelopers of applications and APIs that benefit from cloud database support, developers who wish to master their tools (including Azure SQL Database, and those who want their applications to be known for speedy performance and the elegance of their code

Master today's SQL programming principles and learn how to most effectively apply your SQL skills with Shellman/Afyouni/Pratt/Last's A GUIDE TO SQL, Tenth Edition. This edition's leading approach combines straightforward instruction and extensive hands-on exercises with a strong foundation and emphasis on today's actual business applications. This edition introduces basic SQL commands in the context of an intriguing, ongoing case in which a business uses SQL to manage orders, items, customers and sales reps. This edition emphasizes how to apply fundamental principles and strengthen your programming practices, regardless of the database environment. You work with examples from the latest versions of MySQL, the world's most popular open source, free database, as well as Oracle® and Microsoft® SQL Server. In addition, MindTap digital learning solution is available to help you strengthen your SQL skills.

Die Standardlösung SAP BW/4HANA passt nicht für Ihr Unternehmen? Dieses umfassende Handbuch zeigt Ihnen, wie Sie ein SQL Data Warehouse auf SAP HANA aufbauen. Von der Entwicklung einer geeigneten Architektur über die Datenmodellierung bis hin zur Beladung des Data Warehouse erfahren Sie anhand zahlreicher Beispiele, wie Sie vorgehen sollten. Auch die Anbindung an SAP Data Warehouse Cloud erläutert das erfahrene Autorenteam Ihnen.Aus dem Inhalt:Data-Warehousing-Ansätze von SAP im VergleichEinsatzgebiete von SQL Data WarehousingArchitektur- und DatenmodellierungskonzepteDevOps-AnsatzPhysisches, logisches und konzeptionelles DatenmodellEntwicklung auf der SAP-HANA-PlattformDatenspeicherung und -analyseDatenbeschaffung und BetriebWerkzeuge der SAP HANA Data Warehousing Foundation

Las bases de datos están a la orden del día en la sociedad actual y, en concreto, en el mundo de la empresa: la contabilidad, las nóminas, las ventas, el almacén y sus movimientos, la visitas a la web y un sinfín de actividades se recogen en bases de datos. Es, pues, esencial emplear herramientas adecuadas para analizarlas y desenvolverse con éxito en el presente. En este libro encontrará los conceptos necesarios para interrelacionar uno de los programas sencillos con más posibilidades del mercado, la hoja de cálculo Excel, con otras hojas y otros libros, con otras bases de datos en Microsoft Access o en dBASE, en ficheros de texto o en SQL Server. Sin duda, el contenido del libro deviene un medio imprescindible para ahorrarle tiempo y facilitarle su trabajo, pues trata desde el propio análisis de la base de datos hasta lo más manual, como la obtención, la copia, la selección y los filtros desde y hacia otras bases. Asimismo, con el código de descarga que se facilita en la primera página del libro, podrá contar con ejemplos reales y poner en práctica todo lo aprendido sobre Excel, el lenguaje SQL y mucho más. Gracias a este libro y a las herramientas que desarrolla, encontrará siempre una nueva idea, explicación o causa a todo lo que envuelve a sus bases de datos. No espere más y adéntrese sin miedo en el campo de las bases de datos para proveer a su trabajo del prestigio que merece.

Get to grips with building reliable, scalable, and maintainable database solutions for enterprises and production databasesKey FeaturesImplement PostgreSQL 13 features to perform end-to-end modern database managementDesign, manage, and build enterprise database solutions using a unique recipe-based approachSolve common and not-so-common challenges faced while working to achieve optimal database performanceBook DescriptionPostgreSQL has become the most advanced open source database on the market. This book follows a step-by-step approach, guiding you effectively in deploying PostgreSQL in production environments. The book starts with an introduction to PostgreSQL and its architecture. You'll cover common and not-so-common challenges faced while designing and managing the database. Next, the book focuses on backup and recovery strategies to ensure your database is steady and achieves optimal performance. Throughout the book, you'll address key challenges such as maintaining reliability, data integrity, a fault-tolerant environment, a robust feature set, extensibility, consistency, and authentication. Moving ahead, you'll learn how to manage a PostgreSQL cluster and explore replication features for high availability. Later chapters will assist you in building a secure PostgreSQL server, along with covering recipes for encrypting data in motion and data at rest. Finally, you'll not only discover how to tune your database for optimal performance but also understand ways to monitor and manage maintenance activities, before learning how to perform PostgreSQL upgrades during downtime. By the end of this book, you'll be well-versed with the essential PostgreSQL 13 features to build enterprise relational databases.What you will learnUnderstand logical and physical backups in PostgresDemonstrate the different types of replication methods possible with PostgreSQL todaySet up a high availability cluster that provides seamless automatic failover for applicationsSecure a PostgreSQL encryption through authentication, authorization, and auditingAnalyze the live and historic activity of a PostgreSQL serverUnderstand how to monitor critical services in Postgres 13Manage maintenance activities and performance tuning of a PostgreSQL clusterWho this book is forThis PostgreSQL book is for database architects, database developers and administrators, or anyone who wants to become well-versed with PostgreSQL 13 features to plan, manage, and design efficient database solutions. Prior experience with the PostgreSQL database and SQL language is expected.