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Introducing Microsoft SQL Server 2019

You're reading from   Introducing Microsoft SQL Server 2019 Reliability, scalability, and security both on premises and in the cloud

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781838826215
Length 488 pages
Edition 1st Edition
Languages
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Authors (8):
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Allan Hirt Allan Hirt
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Allan Hirt
Dustin Ryan Dustin Ryan
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Dustin Ryan
Mitchell Pearson Mitchell Pearson
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Mitchell Pearson
Kellyn Gorman Kellyn Gorman
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Kellyn Gorman
Dave Noderer Dave Noderer
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Dave Noderer
Buck Woody Buck Woody
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Buck Woody
Arun Sirpal Arun Sirpal
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Arun Sirpal
James Rowland-Jones James Rowland-Jones
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James Rowland-Jones
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Table of Contents (15) Chapters Close

Preface 1. Optimizing for performance, scalability and real‑time insights 2. Enterprise Security FREE CHAPTER 3. High Availability and Disaster Recovery 4. Hybrid Features – SQL Server and Microsoft Azure 5. SQL Server 2019 on Linux 6. SQL Server 2019 in Containers and Kubernetes 7. Data Virtualization 8. Machine Learning Services Extensibility Framework 9. SQL Server 2019 Big Data Clusters 10. Enhancing the Developer Experience 11. Data Warehousing 12. Analysis Services 13. Power BI Report Server 14. Modernization to the Azure Cloud

Partitioning

Beginning with the release of SQL Server 2005, SQL Server has supported table and index partitioning, which allows the data of partitioned tables and indexes to be spread across multiple filegroups in a database. The data is partitioned horizontally so that groups of rows are mapped into partitions using a partition function that defines the range of values in a partition. Partitions can also be stored on separate filegroups to further increase the scalability of a workload, improve performance, and ease maintenance operations:

Figure 11.1: A well-designed partition strategy can improve data loading and querying performance while also easing maintenance of large volumes of data
Figure 11.1: A well-designed partition strategy can improve data loading and querying performance while also simplifying the maintenance of large volumes of data

Partitioning large tables or indexes can provide benefits that can improve manageability and increase performance, especially in the case of data warehouse workloads that often deal with large volumes of data.

Transferring or accessing subsets of data quickly...

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