10987: Performance Tuning and Optimizing SQL Databases

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sql-server-2016.png

10987: Performance Tuning and Optimizing SQL Databases

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This course provides students who manage and maintain SQL Server databases with the knowledge and skills to performance tune and optimize their databases.

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About This Course

The primary audience for this course is individuals who administer and maintain SQL Server databases and are responsible for optimal performance of SQL Server instances that they manage. These individuals also write queries against data and need to ensure optimal execution performance of the workloads.

The secondary audiences for this course are individuals who develop applications that deliver content from SQL Server databases

Course Outline

Module 1: SQL Server Architecture, Scheduling, and Waits
Module 2: SQL Server I/O
Module 3: Database Structures
Module 4: SQL Server Memory
Module 5: Concurrency and Transactions
Module 6: Statistics and Index Internals
Module 7: Query Execution and Query Plan Analysis
Module 8: Plan Caching and Recompilation
Module 9: Extended Events
Module 10: Monitoring, Tracing, and Baselining
Module 11: Troubleshooting Common Performance Issues

At Course Completion

Upon successful completion of this course, students will be able to:

  • Describe the high level architectural overview of SQL Server and its various components.
  • Describe the SQL Server execution model, waits and queues.
  • Describe core I/O concepts, Storage Area Networks and performance testing.
  • Describe architectural concepts and best practices related to data files for user databases and TempDB.
  • Describe architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking.
  • Describe architectural concepts of the Optimizer and how to identify and fix query plan issues.
  • Describe architectural concepts, troubleshooting scenarios and best practices related to Plan Cache.
  • Describe architectural concepts, troubleshooting strategy and usage scenarios for Extended Events.
  • Explain data collection strategy and techniques to analyze collected data.
  • Understand techniques to identify and diagnose bottlenecks to improve overall performance.