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Foundations of SQL Server 2008 R2 Business Intelligence introduces the entire exciting gamut of business intelligence tools included with SQL Server 2008. Microsoft has designed SQL Server 2008 to be more than just a database. It's a complete business intelligence (BI) platform. The database is at its core, and surrounding the core are tools for data mining, modeling, reporting, analyzing, charting, and integration with other enterprise-level software packages.SQL Server 2008 puts an incredible amount of BI functionality at your disposal. But how do you take advantage of it? That's what this book is all about. Authors Guy Fouché and Lynn Langit show how to implement end-to-end BI solutions using SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and other tools in the Microsoft business intelligence toolkit. You'll learn about all-features such as PowerPivot and Report Builder 3.0. Also provided are clear examples of predictive analysis made possible through powerful data mining features in SQL Server.If you're an analyst or developer working with SQL Server 2008 who is charged with delivering results that drive business success, you can't afford to be without this book; you can't afford to ignore the powerful business intelligence suite that Microsoft has placed at your disposal. Provides the'big picture'of Microsoft's BI tool suite Covers PowerPivot and other game-changing technologies introduced alongside SQL Server 2008 Release 2 Gives a practical analysis of features based on real-world practices

The only book to cover and compare Oracle's online analytic processing products With the acquisition of Hyperion Systems in 2007, Oracle finds itself owning the two most capable OLAP products on the market--Essbase and the OLAP Option to the Oracle Database. Written by the most knowledgeable experts on both Essbase and Oracle OLAP, this Oracle Press guide explains how these products are similar and how they differ. Oracle Essbase & Oracle OLAP will help you architect the Oracle OLAP product that is most appropriate for your application, and build, tune, and maintain OLAP solutions.

Every business has reams of business data locked away in databases, business systems, and spreadsheets. While you may be able to build some reports by pulling a few of these repositories together, actually performing any kind of analysis on the data that runs your business can range from problematic to impossible. Pro SQL Server 2008 Analysis Services will show you how to pull that data together and present it for reporting and analysis in a way that makes the data accessible to business users, instead of needing to rely on the IT department every time someone needs a different report. Accessible—With a single author's voice, this book conducts a guided tour through the technology that makes it easy to dive into. Solution–oriented—While technically deep, the goal is to focus on practical application of the technologies instead of acting as a technical manual. Comprehensive—This book covers every aspect of analysis services and ancillary technologies to enable you to make the most of SQL Server.

Get the end-to-end instruction you need to design, develop, and deploy more effective data integration, reporting, and analysis solutions using SQL Server 2008—whether you're new to business intelligence (BI) programming or a seasoned pro. With real-world examples and insights from an expert team, you'll master the concepts, tools, and techniques for building solutions that deliver intelligence—and business value—exactly where users want it. Discover how to: Manage the development life cycle and build a BI team Dig into SQL Server Analysis Services, Integration Services, and Reporting Services Navigate the Business Intelligence Development Studio (BIDS) Write queries that rank, sort, and drill down on sales data Develop extract, transform, and load (ETL) solutions Add a source code control system Help secure packages for deployment via encryption and credentials Use MDX and DMX Query Designers to build reports based on OLAP cubes and data mining models Create and implement custom objects using.NET code View reports in Microsoft Office Excel and Office SharePoint Serverook

Teach yourself to use SQL Server 2008 Analysis Services for business intelligence—one step at a time. You'll start by building your understanding of the business intelligence platform enabled by SQL Server and the Microsoft Office System, highlighting the role of Analysis Services. Then, you'll create a simple multidimensional OLAP cube and progressively add features to help improve, secure, deploy, and maintain an Analysis Services database. You'll explore core Analysis Services 2008 features and capabilities, including dimension, cube, and aggregation design wizards; a new attribute relationship designer; designer AMO warnings; and using dynamic management views to monitor resources. And as you complete each lesson, you can hone your skills using the practice exercises from the companion CD. Plus, you can review and download code samples illustrating the author's own, professional techniques—direct from the companion Web site. For customers who purchase an ebook version of this title, instructions for downloading the CD files can be found in the ebook.

When used with the MDX query language, SQL Server Analysis Services allows developers to build full-scale database applications to support such business functions as budgeting, forecasting, and market analysis. Shows readers how to build data warehouses and multi-dimensional databases, query databases, and use Analysis Services and other components of SQL Server to provide end-to-end solutions Revised, updated, and enhanced, the book discusses new features such as improved integration with Office and Excel 2007; query performance enhancements; improvements to aggregation designer, dimension designer, cube and dimension wizards, and cell writeback; extensibility and personalization; data mining; and more

With today's information explosion, many organizations are now able to access a wealth of valuable data. Unfortunately, most of these organizations find they are ill-equipped to organize this information, let alone put it to work for them. Gain a Competitive Advantage Employ data mining in research and forecasting Build models with data management

Preserving Privacy for On-Line Analytical Processing addresses the privacy issue of On-Line Analytic Processing (OLAP) systems. OLAP systems usually need to meet two conflicting goals. First, the sensitive data stored in underlying data warehouses must be kept secret. Second, analytical queries about the data must be allowed for decision support purposes. The main challenge is that sensitive data can be inferred from answers to seemingly innocent aggregations of the data. This volume reviews a series of methods that can precisely answer data cube-style OLAP, regarding sensitive data while provably preventing adversaries from inferring data. Preserving Privacy for On-Line Analytical Processing is appropriate for practitioners in industry as well as graduate-level students in computer science and engineering.

'This book provides an insight into important research and technological problems, solutions, and development trends in the field of data warehousing and OLAP. It also serves as an up-to-date bibliography of published works for anyone interested in cutting-edge DW and OLAP issues'--Provided by publisher

Just as every business needs to effectively employ business intelligence (BI) to stay competitive, every IT professional needs to master BI to stay employed in this fastest-growing segment of information technology. Foundations of SQL Server 2005 Business Intelligence is the quickest path to understanding BI, and it is essential reading for all who work with SQL Server 2005. It is written from a practical perspective, perfect for anyone who uses the tools in SQL Server 2005s extraordinarily rich BI product suite. This book explains how best to use Analysis Services, SQL Server Integration Services, SQL Server Reporting Services, and SQL Server Data Mining. It also describes best practices for implementing end-to-end BI solutions in small, medium, and large business environments. And it provides important information about integrating BI with various client tools, including Excel, Business Scorecards, Proclarity, and SharePoint Portal Server. Developers, end users, and even managers will find this an enlightening guide to the power and promise of SQL Server 2005 BI.

About the Book: This book is mainly intended for IT students and professionals to learn or implement data warehousing technologies. It experiences the real-time environment and promotes planning, managing, designing, implementing, supporting, maintaining and analyzing data warehouse in organizations and it also provides various mining techniques as well as issues in practical use of Data Mining Tools. The book is designed for the target audience such as specialists, trainers and IT users. It does not assume any special knowledge as background. Understanding of computer use, databases and s.

IloveBusinessIntelligence.IloveBIbecauseitisallaboutbecomingbetter. BI is all about empowering us with knowledge and that knowledge is the power to realize our full potential. As Zorge the spy said, “knowledge is power”, and who doesn't love to have the power to know, to understand and to make intelligent decision? I do. Since the dawn of the modern information system it was obvious that the information accumulated in the machine is wasted if there is no way to analyze it and learn from it. From as early as the 1950s, data analysis systems and, later, decision support systems were designed, developed anddeployedwiththatintent.However,onlyinthelastdecadehavethese systems become both reasonably affordable and mainstream and their business impact indisputable. The last decade has also seen the emergence of OLAP as the centerpiece of the BI technologies. The OLAP multidimensional databases combine incredible performance with unsurpassed analytical power and, in my opinion, are the foundation of the BI platform. While the performance differences between the multidimensional da- bases and the traditional relational databases are very significant, Moore's law, which states that the hardware computing power doubles every 18 months, renders this advantage of the OLAP databases temporary. Sooner or later, the raw computing power of the common server machines will be sufficient to provide the performance needed for sophisticated analysis even when the data is stored in a relational database.

Joe Celko's Analytics and OLAP in SQL is the first book that teaches what SQL programmers need in order to successfully make the transition from On-Line Transaction Processing (OLTP) systems into the world of On-Line Analytical Processing (OLAP). This book is not an in-depth look at particular subjects, but an overview of many subjects that will give the working RDBMS programmers a map of the terra incognita they will face — if they want to grow. It contains expert advice from a noted SQL authority and award-winning columnist, who has given ten years of service to the ANSI SQL standards committee and many more years of dependable help to readers of online forums. It offers real-world insights and lots of practical examples. It covers the OLAP extensions in SQL-99; ETL tools, OLAP features supported in DBMSs, other query tools, simple reports, and statistical software. This book is ideal for experienced SQL programmers who have worked with OLTP systems who need to learn techniques—and even some tricks—that they can use in an OLAP situation. - Expert advice from a noted SQL authority and award-winning columnist, who has given ten years of service to the ANSI SQL standards committee and many more years of dependable help to readers of online forums - First book that teaches what SQL programmers need in order to successfully make the transition from transactional systems (OLTP) into the world of data warehouse data and OLAP - Offers real-world insights and lots of practical examples - Covers the OLAP extensions in SQL-99; ETL tools, OLAP features supported in DBMSs, other query tools, simple reports, and statistical software

Knowledge is power! As its name suggests, the promise of Microsoft SQL Server Analysis Services 2005 is to promote better data analytics by giving information workers the right tool to analyze consistent, timely, and reliable data. Empowered with Analysis Services and Microsoft Business Intelligence Platform, you are well positioned to solve the perennial problem with data—that there is too much of it and finding the right information is often difficult, if not impossible.Applied Micrisoft Analysis Services 2005 shows database administrators and developers how to build complete OLAP solutions with Microsoft Analysis Services 2005 and Microsoft Business Intelligence Platform. Database administrators will learn how to design and manage sophisticated OLAP cubes that provide rich data analytics and data mining services.The book gives developers the necessary background to extend UDM with custom programming logic, in the form of MDX expressions, scripts and.NET code. It teaches them how to implement a wide range of reporting applications that integrate with Analysis Services, Reporting Services, and Microsoft Office.This book doesn't assume any prior experience with OLAP and Microsoft Analysis Services. It is designed as an easy-to-follow guide where each chapter builds upon the previous to implement the components of the innovative Unified Dimensional Model (UDM) in a chronological order. New concepts are introduced with step-by-step instructions and hands-on demos.What's Inside:o Design sophisticated UDM modelso Build ETL processes with SSISo Implement data mining taskso Enrich UDM programmatically with MDXo Extend UDM with SSAS stored procedures o Create rich end-user model o Optimize Analysis Services storage and processing o Implement dynamic security o Build custom OLAP clients o Author standard and ad-hoc reports with SSRS o Build Office-based BI applications and dashboards o and much more

Includes index.