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Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data - Couverture souple
Synopsis
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
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
À propos de l?auteur
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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurApress
- Date d'édition2023
- ISBN 10 1484294580
- ISBN 13 9781484294581
- ReliureBroché
- Langueanglais
- Numéro d'édition1
- Nombre de pages256
- Coordonnées du fabricantnon disponible
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Practical Graph Structures in SQL Server and Azure SQL : Enabling Deeper Insights Using Highly Connected Data
Edité par
Apress, 2023
ISBN 10 : 1484294580
ISBN 13 : 9781484294581
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Couverture souple
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Etat : Hervorragend. Zustand: Hervorragend | Seiten: 256 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 41543357/1
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Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data (Paperback or Softback)
Edité par
Apress 5/18/2023, 2023
ISBN 10 : 1484294580
ISBN 13 : 9781484294581
Neuf
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Paperback or Softback. Etat : New. Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data 1. Book. N° de réf. du vendeur BBS-9781484294581
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Practical Graph Structures in SQL Server and Azure SQL
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Helps SQL Server and Azure SQL professionals build graph solutions using the tools they already knowDemonstrates multiple approaches for implementing graph structures in SQL Server and Azure SQLProvides code. N° de réf. du vendeur 829429889
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Practical Graph Structures in SQL Server and Azure SQL
impression à la demandeVendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnUnderstand the graph model and the associated terms used in graph analysisStore highly connected data in SQL Server and Azure SQL alongside existing relational dataMake full use of the graph table feature that is refined and enhanced in SQL Server 2019Implement high performance tree structures that will make storing and querying tree data possibleReport on data associated with a tree structure to aggregate results at different levelsWho This Book Is For 256 pp. Englisch. N° de réf. du vendeur 9781484294581
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Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
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Paperback. Etat : Brand New. 255 pages. 10.00x7.01x0.54 inches. In Stock. N° de réf. du vendeur x-1484294580
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Practical Graph Structures in SQL Server and Azure SQL : Enabling Deeper Insights Using Highly Connected Data
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 LearnUnderstand the graph model and the associated terms used in graph analysisStore highly connected data in SQL Server and Azure SQL alongside existing relational dataMake full use of the graph table feature that is refined and enhanced in SQL Server 2019Implement high performance tree structures that will make storing and querying tree data possibleReport on data associated with a tree structure to aggregate results at different levelsWho This Book Is For. N° de réf. du vendeur 9781484294581
Quantité disponible : 1 disponible(s)
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Practical Graph Structures in SQL Server and Azure SQL
Edité par
Apress, Apress Mai 2023, 2023
ISBN 10 : 1484294580
ISBN 13 : 9781484294581
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Neuware -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.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 256 pp. Englisch. N° de réf. du vendeur 9781484294581
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Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
Vendeur : Books Puddle, New York, NY, Etats-Unis
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Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data
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Practical Graph Structures in SQL Server and Azure SQL: Enabling Deeper Insights Using Highly Connected Data [Paperback] Davidson, Louis
Vendeur : Lakeside Books, Benton Harbor, MI, Etats-Unis
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Etat : New. Brand New! Not Overstocks or Low Quality Book Club Editions! Direct From the Publisher! We're not a giant, faceless warehouse organization! We're a small town bookstore that loves books and loves it's customers! Buy from Lakeside Books! N° de réf. du vendeur OTF-S-9781484294581
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