Price: $69.99 - $54.54
(as of Nov 20,2024 11:23:14 UTC – Details)

Publisher ‏ : ‎ Apress; 4th ed. edition (February 22, 2023)
Language ‏ : ‎ English
Paperback ‏ : ‎ 660 pages
ISBN-10 ‏ : ‎ 1484292146
ISBN-13 ‏ : ‎ 978-1484292143
Item Weight ‏ : ‎ 2.49 pounds
Dimensions ‏ : ‎ 7.01 x 1.49 x 10 inches

As businesses continue to rely on data-driven decision-making, the performance of their databases becomes increasingly critical. With the release of Azure SQL and SQL Server 2022, Microsoft has introduced new features and enhancements to help improve performance indexing for both on-premises and cloud environments.

In this post, we will explore how the Expert Performance Indexing feature in Azure SQL and SQL Server 2022 can help organizations achieve faster results and lower maintenance costs. By leveraging advanced indexing techniques, businesses can optimize query performance, reduce storage requirements, and minimize maintenance overhead.

One of the key benefits of Expert Performance Indexing is the ability to automatically recommend and create indexes based on query patterns and usage. This proactive approach helps ensure that the database is efficiently structured to support optimal performance. Additionally, the system continuously monitors and adjusts indexes to adapt to changing workloads, further enhancing query execution speeds.

Another important aspect of Expert Performance Indexing is its support for hybrid environments. Organizations can seamlessly transition between on-premises and cloud deployments, with indexing strategies that are optimized for each environment. This flexibility allows businesses to scale their databases according to their needs, without sacrificing performance or incurring additional maintenance costs.

Overall, Expert Performance Indexing in Azure SQL and SQL Server 2022 offers a comprehensive solution for improving database performance in both on-premises and cloud environments. By leveraging advanced indexing techniques and automation capabilities, organizations can achieve faster results, lower maintenance costs, and ultimately make more informed decisions based on their data.
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