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Analytics Optimization with Columnstore Indexes in Microsoft SQL Server: Optimizing OLAP Workloads
Paperback
Publisher Price: $69.99
ISBN13: 9781484280478
Publisher: Apress
Published: Feb 27 2022
Pages: 280
Weight: 1.16
Height: 0.63 Width: 7.00 Depth: 10.00
Language: English
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
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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