Curso Microsoft SQL Performance Tuning and Optimizing SQL Databases

  • Microsoft SQL Server

Curso Microsoft SQL Performance Tuning and Optimizing SQL Databases

32 horas
Visão Geral

Este Curso Microsoft SQL Performance Tuning and Optimizing SQL Databases,  de 32 horas ministrado por instrutor fornece aos alunos que gerenciam e mantêm bancos de dados SQL Server o conhecimento e as habilidades para ajustar o desempenho e otimizar seus bancos de dados.

Este curso substitui o ajuste e otimização de desempenho do Microsoft SQL Server 2014 (55144) .

Objetivo

Após concluir este Curso Microsoft SQL Performance Tuning and Optimizing SQL Databases, os alunos serão capazes de:

  • Descreva a visão geral da arquitetura de alto nível do SQL Server e seus vários componentes.
  • Descrever o modelo de execução do SQL Server, esperas e filas.
  • Descrever os principais conceitos de E/S, redes de área de armazenamento e testes de desempenho.
  • Descrever conceitos de arquitetura e práticas recomendadas relacionadas a arquivos de dados para bancos de dados de usuários e TempDB.
  • Descrever conceitos de arquitetura e melhores práticas relacionadas a Simultaneidade, Transações, Níveis de Isolamento e Bloqueio.
  • Descreva os conceitos de arquitetura do Optimizer e como identificar e corrigir problemas do plano de consulta.
  • Descrever conceitos de arquitetura, cenários de solução de problemas e práticas recomendadas relacionadas ao Plan Cache.
  • Descrever conceitos de arquitetura, estratégia de solução de problemas e cenários de uso para eventos estendidos.
  • Explicar a estratégia e as técnicas de coleta de dados para analisar os dados coletados.
  • Compreender técnicas para identificar e diagnosticar gargalos para melhorar o desempenho geral.
Publico Alvo

O público principal deste curso são os indivíduos que administram e mantêm bancos de dados do SQL Server e são responsáveis ​​pelo desempenho ideal das instâncias do SQL Server que gerenciam. Esses indivíduos também escrevem consultas nos dados e precisam garantir o desempenho ideal de execução das cargas de trabalho.

O público secundário deste curso são indivíduos que desenvolvem aplicativos que fornecem conteúdo de bancos de dados SQL Server.

Pre-Requisitos

Para além da sua experiência profissional, os alunos que frequentam esta formação já devem possuir os seguintes conhecimentos técnicos:

  • Conhecimento básico do sistema operacional Microsoft Windows e sua funcionalidade principal.
  • Conhecimento em administração e manutenção de banco de dados
  • Conhecimento prático de Transact-SQL.
Conteúdo Programatico

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

  • SQL Server Components and SQL OS
  • Windows Scheduling vs SQL Scheduling
  • Waits and Queues

Lab : SQL Server Architecture, Scheduling, and Waits After completing this module, you will be able to:

  • Describe the SQL Server components and SQL OS
  • Describe the differences between Windows Scheduling and SQL scheduling
  • Describe waits and queues

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

  • Core Concepts
  • Storage Solutions
  • I/O Setup and Testing

Lab : Testing Storage Performance After completing this module, you will be able to:

  • Describe the core concepts of SQL I/O
  • Describe storage solutions
  • Setup and test I/O

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

  • Database Structure Internals
  • Data File Internals
  • TempDB Internals

Lab : Database Structures After completing this module, you will be able to:

  • Describe the internal setup of database structures
  • Describe the internal setup of data files.
  • Describe the internal setup of TempDB

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

  • Windows Memory
  • SQL Server Memory
  • In-Memory OLTP

Lab : SQL Server Memory After completing this module, you will be able to:

  • Describe the components of Windows memory
  • Describe the components of SQL Server memory
  • Describe In-Memory OLTP

Module 5: SQL Server Concurrency This module covers Transactions and Locking Internals. It focuses on architectural concepts and best practices related to Concurrency, Transactions, Isolation Levels and Locking. Lessons

  • Concurrency and Transactions
  • Locking Internals

Lab : SQL Server Concurrency After completing this module, you will be able to:

  • Explain concurrency and transactions
  • Describe locking

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

  • Statistics Internals and Cardinality Estimation
  • Index Internals
  • Columnstore Indexes

Lab : Statistics and index Internals After completing this module, you will be able to:

  • Describe statistics internals
  • Explain cardinality estimation
  • Describe why you would use Columnstore indexes and be able to implement one

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

  • Query execution and optimizer internals
  • Query execution plans
  • Analyzing query execution plans
  • Adaptive query processing

Lab : Query execution and query plan analysis After completing this module, you will be able to:

  • Describe query execution and optimizer
  • Analyze query plans and resolve common issues

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

  • Plan cache internals
  • Troubleshooting plan cache issues
  • Automatic tuning
  • Query store

Lab : Plan caching and recompilation After completing this module, you will be able to:

  • Describe plan cache
  • Troubleshoot plan cache issues
  • Describe query store and why you would use it

Module 9: Extended Events This module covers Extended Events. It focuses on architectural concepts, troubleshooting strategy and usage scenarios for Extended Events. Lessons

  • Extended events core concepts
  • Working with extended events

Lab : Extended events After completing this module, you will be able to:

  • Describe the core concepts of extended events
  • Implement 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

  • Monitoring and tracing
  • Baselining and benchmarking

Lab : Monitoring, Tracing and Baselining After completing this module, you will be able to:

  • Describe various options for monitoring and tracing
  • Describe various options for benchmarking and baselining
TENHO INTERESSE

Cursos Relacionados

Curso Implementando um Data Warehouse SQL

32 horas

Curso MySQL para Iniciantes Administração de Banco de Dados

32 horas

Curso Microsoft SQL Desenvolvimentos de SQL Data Models

24 Horas

Curso SQL Microsoft Database Fundamentals

16 horas

Curso Microsoft SQL 20761 Consultando Dados com o Transact-SQL

32 Horas

Curso Microsoft SQL 20762 Developing SQL Databases

40 Horas

Curso Microsoft SQL Administração SQL Database Infrastructure

32 horas

Curso Microsoft SQL Provisionamento de SQL Databases

32 horas

Curso Microsoft SQL Implementando um SQL Data Warehouse

32 horas

Curso Microsoft SQL Developing SQL Data Models

24 horas