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A Feasible Schema Design Strategy for Amazon DynamoDB: A Nested Normal Form Approach
- Source :
- IEEM
- Publication Year :
- 2020
- Publisher :
- IEEE, 2020.
-
Abstract
- Amazon DynamoDB is a next-gen NoSQL (Not only SQL), key-value and document database that delivers single-digit millisecond performance at any scale. As more complex web-based applications adopt DynamoDB, it is imperative to develop sound design strategies for DynamoDB schemas. Large-scale web-based applications often exhibit conflicting requirements. Hence, the research problem is to design the DynamoDB schemas of a given application with conflicting requirements such that the database must satisfy certain predetermined performance goals. In the era of relational databases, normal forms were developed to guide the schema design process. Past knowledge and experiences, we believe, are also applicable to DynamoDB schema design. Specifically, based upon Nested Normal Form and XML databases, this paper demonstrates the feasibility of a design strategy on DynamoDB schemas, particularly with the access patterns of the data in mind. Simulation further substantiates the feasibility of our approach.
- Subjects :
- SQL
Relational database
computer.internet_protocol
Computer science
business.industry
Sound design
02 engineering and technology
Design strategy
NoSQL
computer.software_genre
Data modeling
XML database
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Software engineering
business
computer
XML
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)
- Accession number :
- edsair.doi...........1dcfc8422ebbb2d00c601793cd9c4515