Master Class: SQL Server Performance, Troubleshooting und Security (SQLPTS) – Outline

Detailed Course Outline

Architecture of MS SQL Server
  • Connection protocols
  • Layers of the database engine
  • Query life cycle
SQL Server configuration
  • Configuration of database services
  • Storage concepts
  • Memory configuration
  • Processor configuration
  • Additional server configurations
  • Configuration manager for the interface
  • TempDB configuration
Database Architecture
  • Database components (Data and Log Files, File Groups, Extents, Pages)
  • Page structure and page types
  • Handling database files (file configuration, shrink file, etc.)
Indexes and Statistics
  • Types of indexes
  • Advantages and disadvantages of indexes
  • Column-stored indexes
  • Statistics and filtered statistics
Security
  • Permission concepts in SQL Server
  • Creating logins, users, roles, and schemas
  • Transferring logins
  • Working with instances
  • Always Encrypted
  • Code and data encryption
  • Dynamic data masking
  • Server and database auditing
  • Password protection and backup encryption
  • SQL injection
  • Security for SSRS and SSAS
SQL Server Maintenance
  • Maintenance strategies for indexes, statistics, and databases
  • Automating maintenance jobs
  • SSIS DB as storage for maintenance jobs
Identifying Performance Bottlenecks
  • Causes of performance bottlenecks
  • Strategies for identifying performance bottlenecks
  • Using Perfmon for performance parameter analysis
  • Overview of key performance parameters
  • Event monitoring with Profiler and Extended Events
  • Monitoring with DMVs and DBCC commands
  • Data Collector
Querying and Execution Plans
  • Query processing architecture
  • Understanding and interpreting execution plans
  • Using the Database Tuning Advisor to improve query performance
  • Utilizing the Query Store
  • Auto Tuning
SQL Optimization
  • Optimizing SQL
  • 10 tips for performant SQL
  • Locking Behavior of Queries
  • Transactions and isolation levels
  • Identifying deadlocks
  • Influencing execution plans with hints
  • Procedures and materialized views
  • Using CLRs
In-memory OLTP databases and table compression