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SQL Server 2017 Developer???s Guide

You're reading from   SQL Server 2017 Developer???s Guide A professional guide to designing and developing enterprise database applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788476195
Length 816 pages
Edition 1st Edition
Languages
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Authors (3):
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Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
Miloš Radivojević Miloš Radivojević
Author Profile Icon Miloš Radivojević
Miloš Radivojević
William Durkin William Durkin
Author Profile Icon William Durkin
William Durkin
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Toc

Table of Contents (19) Chapters Close

Preface 1. Introduction to SQL Server 2017 FREE CHAPTER 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 18. Other Books You May Enjoy

Nonclustered columnstore indexes


After a theoretical introduction, it is time to start using columnar storage. You will start by learning how to create and use NCCI. You already know from the previous section that an NCCI can be filtered. Now you will learn how to create, use, and ignore an NCCI. In addition, you will measure the compression rate of the columnar storage.

Because of the different burdens on SQL Server when a transactional application uses it compared to analytical applications usage, traditionally, companies split these applications and created data warehouses. Analytical queries are diverted to the data warehouse database. This means that you have a copy of data in your data warehouse, of course with a different schema. You also need to implement the ETL process for scheduled loading of the data warehouse. This means that the data you analyze is somehow stalled. Frequently, the data is loaded overnight and is thus one day old when you analyze it. For many analytical purposes...

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