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SQL Server 2017 Developer???s Guide

You're reading from SQL Server 2017 Developer???s Guide

Product type Book

Published in Mar 2018

Publisher Packt

ISBN-13 9781788476195

Pages 816 pages

Edition 1st Edition

Languages

Concepts

Database Programming

Table of Contents (25) Chapters

Title Page

Copyright and Credits

Dedication

Packt Upsell

Contributors

Preface

1. Introduction to SQL Server 2017

2. Review of SQL Server Features for Developers

3. SQL Server Tools

4. Transact-SQL and Database Engine Enhancements

5. JSON Support in SQL Server

6. Stretch Database

7. Temporal Tables

8. Tightening Security

9. Query Store

10. Columnstore Indexes

11. Introducing SQL Server In-Memory OLTP

12. In-Memory OLTP Improvements in SQL Server 2017

13. Supporting R in SQL Server

14. Data Exploration and Predictive Modeling with R

15. Introducing Python

16. Graph Database

17. Containers and SQL on Linux

1. Other Books You May Enjoy

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Index

Chapter 16. Graph Database

In the recent years, the data landscape has changed significantly: massively structured and unstructured data is being generated from various sources. Applications and services are being developed with agile methodologies more frequently than ever, the data changes being fast and significant. Scalability requirements are also very important. Relational database management systems are not designed to handle all these challenges. Therefore, enterprises use NoSQL database solutions, which are more appropriate for new data requirements.

Graph databases belong to the NoSQL databases family. They have only existed for a few years and are used for storing and querying highly connected data, usually connected with many-to-many relations. SQL Server 2017 offers graph database capabilities in a feature called SQL Graph.

This chapter is divided into the following three sections:

Introduction to graph theory and graph databases
SQL Graph in SQL Server 2017
Limitations in the current...

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