Microsoft SQL Server 2019 Performance Tuning and Management Course Overview

Microsoft SQL Server 2019 Performance Tuning and Management Course Overview

The Microsoft SQL Server 2019 Performance Tuning and Management course is designed to equip learners with the necessary skills for optimizing the performance of SQL Server databases. Through a comprehensive curriculum, participants will delve into SQL Server architecture, understand how scheduling differs between Windows and SQL Server, and learn about Waits and queues that can impact performance. The course covers in-depth topics such as SQL Server I/O, Database structure internals, Memory management, Concurrency, Transactions, and Indexing—all pivotal for effective SQL tuning in SQL Server.

Participants will also gain hands-on experience with labs that reinforce the lessons on Query execution, Plan analysis, Caching, Recompilation, and the use of Extended Events. Furthermore, the course addresses advanced topics such as Intelligent Query Processing and provides performance improvement tips and tricks. By the end of the course, learners will be proficient in SQL Server performance management, enabling them to diagnose and resolve performance issues, leading to optimized SQL Server environments.

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Course Prerequisites

To ensure you have a solid foundation and can successfully undertake the Microsoft SQL Server 2019 Performance Tuning and Management course, the following prerequisites are recommended:


  • Basic understanding of database concepts, including the role and function of a database management system.
  • Familiarity with the fundamental concepts of SQL Server and experience working with SQL Server Management Studio (SSMS).
  • Hands-on experience with writing Transact-SQL (T-SQL) queries, such as SELECT, INSERT, UPDATE, and DELETE statements.
  • Knowledge of relational database design principles and normalization.
  • An understanding of basic Windows operating system functions and familiarity with Windows Server environments.
  • Prior experience with managing database files, database backups, and basic system administration tasks is beneficial.

These prerequisites are intended to provide you with the necessary background to grasp the course content effectively. They are not meant to be barriers to entry but rather to ensure that you can get the most out of the training and apply the concepts learned in your professional environment.


Target Audience for Microsoft SQL Server 2019 Performance Tuning and Management

  1. This comprehensive course is designed for professionals seeking expertise in SQL Server 2019 performance tuning and management.


  2. Target audience for the Microsoft SQL Server 2019 Performance Tuning and Management course:


  • Database Administrators
  • Database Developers
  • Data Architects
  • IT Professionals responsible for managing and maintaining SQL Server databases
  • SQL Server Consultants
  • System Engineers
  • Performance Tuning Specialists
  • Technical Support Personnel for SQL Server environments
  • Business Intelligence Professionals with a focus on SQL Server performance
  • Data Analysts requiring in-depth knowledge of SQL Server internals


Learning Objectives - What you will Learn in this Microsoft SQL Server 2019 Performance Tuning and Management?

Introduction to Course Learning Outcomes and Concepts

The Microsoft SQL Server 2019 Performance Tuning and Management course equips learners with the skills to optimize database performance through in-depth understanding of SQL Server's architecture, management, and tuning.

Learning Objectives and Outcomes

  • Understand the internal components of SQL Server and how the SQLOS manages resources and scheduling.
  • Gain knowledge of how SQL Server handles I/O operations and how to test and optimize I/O performance.
  • Learn the internals of database structures, including data file and tempdb management, to ensure efficient database operations.
  • Master SQL Server memory management and explore In-Memory OLTP capabilities for performance enhancement.
  • Analyze and manage concurrency and transactions to minimize locking and blocking issues.
  • Dive into statistics and index internals, and learn how to maintain and tune indexes for optimal query performance.
  • Develop the ability to analyze query execution plans and leverage adaptive query processing for improved execution strategies.
  • Explore plan caching and recompilation, and learn to use tools like the Query Store for automatic tuning and troubleshooting.
  • Work with Extended Events to monitor and troubleshoot SQL Server performance in real-time.
  • Implement monitoring, tracing, and baseline methodologies to maintain consistent SQL Server performance over time.
  • Apply query optimization techniques specific to SQL Server 2019, including Scalar UDF Inlining, to enhance query efficiency.
  • Leverage Intelligent Query Processing features like approximate Count Distinct and Memory Grant Feedback to streamline query execution.

Technical Topic Explanation

SQL Server architecture

SQL Server architecture refers to the overall design and structure of the Microsoft SQL Server database management system. It's responsible for the storage, processing, and secure handling of data across various applications. Core components include the Database Engine, which manages data storage, processing, and security; the SQL Server Agent for automating tasks; and the SQL Server Management Studio, which provides a graphical interface for database management. Effective SQL Server architecture supports SQL Server Database Performance Tuning and SQL Server Performance Management, ensuring optimal performance and efficient SQL tuning in SQL Server to handle large volumes of data efficiently.

Transactions

In database systems, transactions refer to a unit of work performed within a database management system against a database, and are treated in a coherent and reliable way independent of other transactions. A transaction generally represents any change in a database. If a transaction is completed successfully, all data modifications made during the transaction are committed and become a permanent part of the database. If any error occurs, all changes are rolled back, as if that transaction had never been executed. This ensures data integrity and consistency even in cases of a system failure.

Indexing

Indexing in SQL Server enhances database performance by enabling quicker data retrieval. Indexes are created using one or more columns of a database table, providing a fast path to locate records without scanning the entire table. This is critical in performing efficient sql tuning in SQL server, particularly in large databases. Proper indexing is a key part of microsoft sql server performance tuning and ms sql server performance tuning, as it impacts both the speed and the workload capacity of a server, ultimately facilitating effective sql server performance management.

Waits and queues

Waits and queues in SQL Server are performance indicators that help in identifying bottlenecks impacting the database's responsiveness. When a task in SQL Server needs resources that aren't available immediately, it is put into a wait state, tracked under "waits". Similarly, "queues" refer to tasks lined up awaiting resource clearance. Effective SQL Server performance management, especially in terms of SQL tuning and Microsoft SQL Server performance tuning, involves analyzing these waits and queues to optimize database performance and reduce delays in data processing, ensuring smoother and faster SQL Server database performance tuning.

SQL Server I/O

SQL Server I/O refers to the input/output operations that involve the reading and writing of data between the SQL Server database and the hardware storage. Effective I/O operations are crucial for optimal performance. Techniques such as SQL Server database performance tuning and microsoft SQL server performance tuning focus on optimizing these I/O processes to enhance SQL Server performance management. By applying ms SQL server performance tuning strategies, such as proper indexing and query optimization, professionals can significantly reduce I/O bottlenecks, leading to faster data access and improved overall efficiency in managing and querying databases.

Database structure internals

Database structure internals involve understanding how data is organized, stored, and managed within a database system like SQL Server. This includes an awareness of tables, indexes, and the relationships between them. Effective SQL Server database performance tuning focuses on optimizing these structures to enhance retrieval times and transaction processing. SQL Server performance management often targets query optimization and efficient data indexing. By applying microsoft SQL server performance tuning, we can ensure that the database performs optimally, reducing lag and improving overall application performance. MS SQL server performance tuning and SQL tuning in SQL Server are critical for maintaining swift data operations.

Memory management

Memory management is a crucial process in computing where the system allocates various blocks of memory to multiple applications and tasks in a way that optimizes efficiency and speed. This system ensures that applications have enough memory to operate while maintaining the overall stability and performance of the computer. Effective memory management helps in preventing memory leaks, reducing latency, and maximizing the use of the system's RAM. Essentially, it acts like a well-organized librarian, who knows where every book should be and ensures no two people are mistakenly given the same book to read.

Concurrency

Concurrency in technology refers to the ability of a system to handle multiple operations or tasks simultaneously, making efficient use of resources. In computing, it’s about managing the parallel execution of processes and threads to enhance performance. Implementing concurrency effectively can reduce waiting times and improve the responsiveness of applications, playing a crucial role in optimizing systems like SQL Server databases. Proper concurrency management ensures smooth SQL Server performance, allowing for real-time access and updates to data with minimal delay. This is particularly important in environments where high-performance and rapid data retrieval are essential.

Query execution

Query execution in SQL Server involves the process by which the server retrieves data from the database based on the SQL commands you provide. To optimize these operations, techniques under SQL Server database performance tuning, Microsoft SQL Server performance tuning, and MS SQL Server performance tuning are applied. These methods enhance the efficiency and speed at which queries are executed. SQL Server performance management involves regular monitoring and adjusting indexes, query designs, and server settings to reduce processing time and improve response times. Successful SQL tuning in SQL server not only improves the execution but also the overall performance of the database system.

Plan analysis

Plan analysis in the context of SQL Server focuses on assessing and enhancing the execution plans that the SQL Server optimizer generates. The goal is to improve query performance through strategies like SQL Server Database Performance Tuning, SQL Server Performance Management, and Microsoft SQL Server Performance Tuning. This involves analyzing how queries access data and making adjustments to indexes, query design, and server configurations to optimize execution times and resource usage, thus improving overall MS SQL Server Performance Tuning.

Caching

Caching is a technology used to store frequently accessed data or files in a temporary storage area, known as a cache, so future requests for that data can be served faster. This technique is particularly useful in improving the efficiency and speed of data retrieval on SQL servers, which is crucial for SQL server performance management, SQL tuning in SQL server, and Microsoft SQL Server performance tuning. By effectively implementing caching strategies, MS SQL Server performance tuning can significantly enhance overall database performance, reducing the load on the server and enabling quicker response times for data queries.

Recompilation

Recompilation in computing, particularly when related to SQL Server, involves the process of reanalyzing and regenerating the execution plan for a stored procedure or query. This is often necessary when changes in database schema or data characteristics affect performance negatively. The goal is to enhance query efficiency and ensure optimal use of resources. Techniques in SQL Server performance tuning frequently address recompilation as a method to improve response times and overall system throughput, crucial under dynamic workloads or after significant updates to the data environment. This process is integral to maintaining robust SQL Server performance management and ensuring consistent application performance.

Extended Events

Extended Events in Microsoft SQL Server is a lightweight, highly scalable, and powerful tool designed for monitoring and troubleshooting SQL Server performance issues. This feature helps in sql server database performance tuning by allowing you to collect data about SQL Server activities dynamically. With Extended Events, you can efficiently handle sql server performance management and perform ms sql server performance tuning by targeting specific events and filters, which minimizes performance overhead. It's instrumental in sql tuning in SQL Server, providing detailed insights to optimize queries and improve overall system performance, crucial for maintaining efficient Microsoft SQL Server environments.

Intelligent Query Processing

Intelligent Query Processing in SQL Server is a feature designed to boost the performance of database queries by automatically optimizing their execution. This means that SQL Server can adjust how queries operate behind the scenes without requiring manual interventions. This is especially helpful in environments where sql server database performance tuning is critical. The system intelligently identifies the most efficient ways to execute queries, enhancing sql server performance management and ensuring optimum use of resources. Ideal for both microsoft sql server performance tuning and ms sql server performance tuning, it simplifies maintaining and improving database responsiveness and speed.

Target Audience for Microsoft SQL Server 2019 Performance Tuning and Management

  1. This comprehensive course is designed for professionals seeking expertise in SQL Server 2019 performance tuning and management.


  2. Target audience for the Microsoft SQL Server 2019 Performance Tuning and Management course:


  • Database Administrators
  • Database Developers
  • Data Architects
  • IT Professionals responsible for managing and maintaining SQL Server databases
  • SQL Server Consultants
  • System Engineers
  • Performance Tuning Specialists
  • Technical Support Personnel for SQL Server environments
  • Business Intelligence Professionals with a focus on SQL Server performance
  • Data Analysts requiring in-depth knowledge of SQL Server internals


Learning Objectives - What you will Learn in this Microsoft SQL Server 2019 Performance Tuning and Management?

Introduction to Course Learning Outcomes and Concepts

The Microsoft SQL Server 2019 Performance Tuning and Management course equips learners with the skills to optimize database performance through in-depth understanding of SQL Server's architecture, management, and tuning.

Learning Objectives and Outcomes

  • Understand the internal components of SQL Server and how the SQLOS manages resources and scheduling.
  • Gain knowledge of how SQL Server handles I/O operations and how to test and optimize I/O performance.
  • Learn the internals of database structures, including data file and tempdb management, to ensure efficient database operations.
  • Master SQL Server memory management and explore In-Memory OLTP capabilities for performance enhancement.
  • Analyze and manage concurrency and transactions to minimize locking and blocking issues.
  • Dive into statistics and index internals, and learn how to maintain and tune indexes for optimal query performance.
  • Develop the ability to analyze query execution plans and leverage adaptive query processing for improved execution strategies.
  • Explore plan caching and recompilation, and learn to use tools like the Query Store for automatic tuning and troubleshooting.
  • Work with Extended Events to monitor and troubleshoot SQL Server performance in real-time.
  • Implement monitoring, tracing, and baseline methodologies to maintain consistent SQL Server performance over time.
  • Apply query optimization techniques specific to SQL Server 2019, including Scalar UDF Inlining, to enhance query efficiency.
  • Leverage Intelligent Query Processing features like approximate Count Distinct and Memory Grant Feedback to streamline query execution.