Use the graph table features in Azure SQL that were introduced in SQL Server 2017 and further refined in SQL Server 2019. This book shows you how to create data structures to capture complex connections between items in your data. These connections will help you analyze and draw insights from connections in your data that go beyond classic relationships.
br> The graph examples in the book are useful for analyzing 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.
< >What You Will Learn li>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 results at different levels
Who This Book Is For
< iv>
< r />
Louis Davidson has been working with databases for more than 25 years as a corporate database developer and architect, and is now the editor for the Redgate Simple Talk website. He has been a Microsoft MVP for 18 years. In addition to this book on graphs, he has written six editions of his general-purpose SQL Server database design book (Apress).
ouis has been active in speaking about database design and implementation at many conferences over the past 25 years, including SQL PASS, SQL Rally, SQL Saturday events, CA World, Music City Data, and the devLink Technical Conference. He has a bachelor's degree in computer science from the University of Tennessee at Chattanooga. For more information, please visit his website at drsql.org. |
