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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

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 Index

Appendix 1. Other Books You May Enjoy

If you enjoyed this book, you may be interested in these other books by Packt:

SQL Server 2017 Administrator's Guide Marek Chmel, Vladimír Mužný

ISBN: 978-1-78646-254-1

  • Learn about the new features of SQL Server 2017 and how to implement them
  • Build a stable and fast SQL Server environment
  • Fix performance issues by optimizing queries and making use of indexes
  • Perform a health check of an existing troublesome database environment
  • Design and use an optimal database management strategy
  • Implement efficient backup and recovery techniques in-line with security policies
  • Combine SQL Server 2017 and Azure and manage your solution by various automation techniques Perform data migration, cluster upgradation and server consolidation

SQL Server 2017 Machine Learning Services with R Tomaž Kaštrun, Julie Koesmarno

ISBN: 978-1-78728-357-2

  • Get an overview of SQL Server 2017 Machine Learning Services with R
  • Manage SQL Server Machine Learning Services from installation to configuration and maintenance
  • Handle and operationalize R code
  • Explore RevoScaleR R algorithms and create predictive models
  • Deploy, manage, and monitor database solutions with R
  • Extend R with SQL Server 2017 features
  • Explore the power of R for database administrators
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