Optimize query performance in Azure SQL
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About This Course
Course Description:
Analyze individual query performance and determine where improvements can be made. Explore performance-related Dynamic Management Objects. Investigate how indexes and database design affect queries.
This Course helps prepare you for Exam DP-300: Administering Microsoft Azure SQL Solutions.
Inclusions
- 1 Day Certified Instructor-led training
- Official Training Seminar Student Handbook
- Collaboration with classmates (not currently available for self-paced course)
- Real-world learning activities and scenarios
- Exam scheduling support*
- Enjoy job placement assistance for the first 12 months after course completion.
- This course is eligible for CCS Learning Academy’s Learn and Earn Program: get a tuition fee refund of up to 50% if you are placed in a job through CCS Global Tech’s Placement Division*
- Government and Private pricing available.*
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Pre-requisites
- Ability to use tools for running queries against a Microsoft SQL database, either on-premises on cloud-based
- Ability to write code in the SQL language, particularly the Microsoft T-SQL dialect, at a basic level.
- Basic understanding of structure and usage of SQL Server indexes
- Basic understanding of relational database concepts
Target Audience
- The audience for this course is data professionals managing data and databases who want to learn about administering the data platform technologies that are available on Microsoft Azure.
Curriculum
18 Lessons32h
Module 1: Explore query performance optimization
Read and understand various forms of execution plans. Compare estimated vs actual plans. Learn how and why plans are generated. Understand the purpose and benefits of the Query Store.
Introduction
Understand query plans
Explain estimated and actual query plans
Describe dynamic management views and functions
Explore Query Store
Identify problematic query plans
Describe blocking and locking
Exercise: Identify and resolve blocking issues
Module 2: Explore performance-based design
Explore normalization for relational databases. Investigate the impact of proper datatype usage. Compare types of indexes.
Module 3: Evaluate performance improvements
Evaluate possible changes to indexes. Determine the impact of changes to queries and indexes. Explore Query Store hints.