Overview
- Shows how columnstore indexes solve analytic data performance challenges
- Walks through the creation, usage, and maintenance of columnstore indexes
- Provides best practices for reliable, performant, and consistent analytic processes
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Table of contents (15 chapters)
Keywords
About this book
With little or no knowledge of columnstore indexing you can become proficient with columnstore indexes as used in SQL Server, and apply that knowledge in development, test, and production environments. This book serves as a comprehensive guide to the use of columnstore indexes and provides definitive guidelines. You will learn when columnstore indexes shouldbe used, and the performance gains that you can expect. You will also become familiar with best practices around architecture, implementation, and maintenance. Finally, you will know the limitations and common pitfalls to be aware of and avoid.
As analytic data can become quite large, the expense to manage it or migrate it can be high. This book shows that columnstore indexing represents an effective storage solution that saves time, money, and improves performance for any applications that use it. You will see that columnstore indexes are an effective performance solution that is included in all versions of SQL Server, with no additional costs or licensing required.
What You Will Learn
- Implement columnstore indexes in SQL Server
- Know best practices for the use and maintenance of analytic data in SQL Server
- Use metadata to fully understand the size and shape of data stored in columnstore indexes
- Employ optimal ways to load, maintain, and delete data from large analytic tables
- Know how columnstore compression saves storage, memory, and time
- Understand when a columnstore index should be used instead of a rowstore index
- Be familiar with advanced features and analytics
Who This Book Is For
Database developers, administrators, and architects who are responsible for analytic data, especially for those working with very large data sets who are looking for new ways to achieve high performance in their queries, and those with immediate or future challenges to analytic data and query performance who want a methodical and effective solution
Authors and Affiliations
About the author
In his free time, Ed enjoys video games, sci-fi & fantasy, traveling and baking. He lives in the sometimes-frozen icescape of Albany, NY with his wife Theresa and sons Nolan and Oliver, and a mountain of (his) video game plushies that help break the fall when tripping on (their) kids’ toys.
Bibliographic Information
Book Title: Analytics Optimization with Columnstore Indexes in Microsoft SQL Server
Book Subtitle: Optimizing OLAP Workloads
Authors: Edward Pollack
DOI: https://doi.org/10.1007/978-1-4842-8048-5
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Edward Pollack 2022
Softcover ISBN: 978-1-4842-8047-8Published: 27 February 2022
eBook ISBN: 978-1-4842-8048-5Published: 26 February 2022
Edition Number: 1
Number of Pages: XIX, 280
Number of Illustrations: 149 b/w illustrations
Topics: Database Management, Microsoft and .NET