This four-day instructor-led course provides students who manage and maintain SQL Server databases with the knowledge and skills to performance tune and optimize their databases.
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.
Please note: Although this course is within the Microsoft SQL Server 2016 curriculum it is applicable to version 2012 and 2014 as well. Some features are from the later version but the tools and techniques for performance tuning and optimising a SQL Server database and queries are the same for all the versions
In addition to their professional experience, students who attend this training should already have the following technical knowledge:
After completing this course, students will be able to:
Module 1: SQL Server Architecture, Scheduling, and Waits
This module covers high level architectural overview of SQL Server and its various components. It dives deep into SQL Server execution model, waits and queues.
Lessons
Lab : SQL Server Architecture, Scheduling, and Waits
Module 2: SQL Server I/O
This module covers core I/O concepts, Storage Area Networks and performance testing. It focuses on SQL Server I/O operations and how to test storage performance.
Lessons
Lab : Testing Storage Performance
Module 3: Database Structures
This module covers Database Structures, Data File and TempDB Internals. It focuses on architectural concepts and best practices related to data files for user databases and TempDB.
Lessons
Lab : Database Structures
Module 4: SQL Server Memory
This module covers Windows and SQL Server Memory internals. It focuses on architectural concepts and best practices related to SQL Server Memory Configuration.
Lessons
Lab : SQL Server Memory
Module 5: Concurrency and Transactions
This module covers Transactions and Locking Internals. It focuses on architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking.
Lessons
Lab : Concurrency and Transactions
Module 6: Statistics and Index Internals
This module covers Statistics and Index Internals. It focuses on architectural concepts and best practices related to Statistics and Indexes.
Lessons
Lab : Statistics and index Internals
Module 7: Query Execution and Query Plan Analysis
This module covers Query Execution and Query Plan Analysis. It focuses on architectural concepts of the Optimizer and how to identify and fix query plan issues.
Lessons
Lab : Query execution and query plan analysis
Module 8: Plan Caching and Recompilation
This module covers Plan Caching and Recompilation. It focuses on architectural concepts, troubleshooting scenarios and best practices related to Plan Cache.
Lessons
Lab : Plan caching and recompilation
Module 9: Extended Events
This module covers Extended Events. It focuses on architectural concepts, troubleshooting strategy and usage scenarios for Extended Events.
Lessons
Lab : Extended events
Module 10: Monitoring, Tracing, and Baselining
This module covers tools and techniques to monitor, trace and baseline SQL Server performance data. It focuses on data collection strategy and techniques to analyze collected data.
Lessons
Lab : Monitoring, Tracing and Baselining
Module 11: Troubleshooting Common Performance Issues
This module covers common performance bottlenecks related to CPU, Memory, IO, TempDB and Concurrency. It focuses on techniques to identify and diagnose bottlenecks to improve overall performance.
Lessons
Lab : Troubleshooting common performance issues
Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.
M. K. - DBA
ARAP TURK BANKASI A.S.
Rated the training 5 stars.