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  • Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Optimizing OLAP Workloads

    Analytics Optimization with Columnstore Indexes in Microsoft SQL Server by Pollack, Edward;

    Optimizing OLAP Workloads

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      • Publisher's listprice EUR 69.54
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        27 162 Ft (25 868 Ft + 5% VAT)
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      • Discounted price 23 902 Ft (22 764 Ft + 5% VAT)

    23 902 Ft

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    Out of print

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    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1st ed.
    • Publisher Apress
    • Date of Publication 27 February 2022
    • Number of Volumes 1 pieces, Book

    • ISBN 9781484280478
    • Binding Paperback
    • No. of pages280 pages
    • Size 254x178 mm
    • Weight 574 g
    • Language English
    • Illustrations XIX, 280 p. 149 illus. Illustrations, black & white
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    Long description:

    Meet the challenge of storing and accessing analytic data in SQL Server in a fast and performant manner. This book illustrates how columnstore indexes can provide an ideal solution for storing analytic data that leads to faster performing analytic queries and the ability to ask and answer business intelligence questions with alacrity. The book provides a complete walk through of columnstore indexing that encompasses an introduction, best practices, hands-on demonstrations, explanations of common mistakes, and presents a detailed architecture that is suitable for professionals of all skill levels.

    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

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    Table of Contents:

    1. Introduction to Analytic Data in a Transactional Database.- 2. Transactional vs. Analytic Workloads.- 3. What are Columnstore Indexes?.- 4. Columnstore Index Architecture.- 5. Columnstore Compression.- 6. Columnstore Metadata.- 7. Batch Execution.- 8. Bulk Loading Data.- 9. Delete and Update Operations.- 10. Segment and Rowgroup Elimination.- 11. Partitioning.- 12. Non-Clustered Columnstore Indexes on Rowstore Tables.- 13. Non-Clustered Rowstore Indexes on Columnstore Tables.- 14. Columnstore Index Maintenance.- 15. Columnstore Index Performance.

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