Shulou(Shulou.com)06/01 Report--

Lie SQL Server performance optimization (MSSQL high concurrency, performance regulation, practice)

Network disk address: https://pan.baidu.com/s/1KxdfcQD0XGD3M2ja_Y7UWQ

Extraction code: 435v

Alternate address (Tencent Weiyun): https://share.weiyun.com/5dTuZJ9 password: xhmge4

This course originated from a product of a well-known ERP manufacturer in China, which solved the performance problem through consulting service, and then sorted out how to control and solve the performance problem in all aspects of SQL Server 2008 R2 and above database level according to many years of technical training, project development, product development and operation management, software company internal consultation and so on. One is to fully let students understand how to implement and solve performance problems from all levels of the database in our actual process; the other is how to use the best practices in actual project development to guide database performance decisions.

In the actual development process of most data-based application systems, the performance problem has always been a problem that needs to be paid more attention to and solved. Performance problems need to be paid attention to in all aspects of the system, such as database level, application system level, operating system level, server level, network level and so on.

Because the scope of this topic is too wide, this course mainly covers the database level and will be briefly covered at other levels.

First, we need to understand the performance problems in the process of system development.

The second is how to collect the corresponding data access performance information if there is a problem with the system performance.

Third, how to plan the index to improve the performance of data access.

The fourth is how to improve the system data processing speed by means of segmentation.

Fifth, how to effectively control and manage concurrent access.

The sixth is to allocate performance resources to multi-application systems through performance regulation.

Seventh, how to improve data access speed by understanding and controlling the execution plan.

Eighth, performance best practices in other areas.

The ninth is how to implement multi-server strategy to improve the scalability of data access performance.

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