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Analytics Optimization with Columnstore Indexes in Microsoft SQL Server - Optimizing OLAP Workloads (Paperback, 1st ed.)
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Analytics Optimization with Columnstore Indexes in Microsoft SQL Server - Optimizing OLAP Workloads (Paperback, 1st ed.)
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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 should be 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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