Louis Davidson
Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
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- More about Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
SQL Server developers and architects who want to learn how to use the graph table feature in SQL Server 2017 and SQL Server 2019 to store and analyze highly connected data.
The book teaches you how to use the graph table feature in SQL Server 2017 and SQL Server 2019 to store and analyze highly connected data, including tree structures. It provides code examples and sample data for performance testing and implementation.
Format: Paperback / softback
Length: 238 pages
Publication date: 18 May 2023
Publisher: APress
The book "Graph Databases with SQL Server 2017 and Azure SQL" teaches you how to create data structures to capture complex connections between items in your data, which can help you analyze and draw insights from connections that go beyond classic relationships. The book covers graph examples such as social media relationships, complex product-to-customer relationships, and any other type of data analysis in which indirect connections that otherwise might be missed using conventional techniques can be mined for their insight and business value. Tree structures are covered, with emphasis on a structure commonly used by organizations to aggregate data at different levels of an organization. The book provides code examples of SQL Graph objects as well as an alternate tree implementation technique. Included is sample data (and data generators) for you to test for performance and choose the implementation approach that best suits your needs and that of your application. If your job involves analyzing or storing data elements that are connected in a networked topology, then this is the book that will help you bring the power of SQL Server to bear on that data and take advantage of your existing knowledge.
What You Will Learn:
Understand the graph model and the associated terms used in graph analysis.
Store highly connected data in SQL Server and Azure SQL alongside existing relational data.
Make full use of the graph table feature that is refined and enhanced in SQL Server 2019.
Implement high performance tree structures that will make storing and querying tree data possible.
Report on data associated with a tree structure to aggregate r.
Dimension: 254 x 178 (mm)
ISBN-13: 9781484294581
Edition number: 1st ed.
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