Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data - Softcover

Davidson, Louis

 
9781484294581: Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
Softcover
ISBN 10: 1484294580 ISBN 13: 9781484294581
Verlag: Apress, 2023

Inhaltsangabe

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.

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. 


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 storage of 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 results at different levels

Who This Book Is For



Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.

Über die Autorin bzw. den Autor

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).


Louis 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. 

Von der hinteren Coverseite

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.

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. 

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 storage of 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 results at different levels




„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.

Verlag
Apress
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
1484294580
ISBN 13 
9781484294581
Einband
Taschenbuch
Auflage
1
Anzahl der Seiten
256
Kontakt zum Hersteller
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ProductSafety@springernature.com

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Heidelberg
69121
Deutschland

Weitere beliebte Ausgaben desselben Titels

9781484294604: Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data

Vorgestellte Ausgabe

ISBN 10:  1484294602 ISBN 13:  9781484294604
Verlag: Apress, 2023
Softcover