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Duration 14 hours
Course Outline
Constructing Data Flows
- An overview of data flow tasks and transformation tools
- Integration of data sources and destinations
- Application of standard data transformations
- Strategies for resolving data quality concerns
SSIS Control Flow Mechanics
- Understanding the fundamentals of control flow tasks
- Utilizing containers to orchestrate control flow
- Implementing loop structures and conditional logic
- Managing the overall package execution sequence
Advanced Transformation Strategies
- Leveraging sophisticated transformation components
- Data cleansing, validation, and enrichment processes
- Methods for data aggregation and summarization
- Detailed implementation of Slowly Changing Dimensions (SCD)
Variables and Parameter Management
- Introduction to the role of variables and parameters
- Using variables to govern package behavior
- Dynamic configuration of package properties
SSIS Execution Management
- Configuring execution options for optimal performance
- Establishing error handling and logging frameworks
- Employing event handlers for runtime management
- Scheduling and automating runs via SQL Server Agent
Deployment and Package Stewardship
- Reviewing deployment models in SQL Server 2022
- Deploying packages to the SSIS catalog
- Monitoring and troubleshooting live packages
Performance Optimization
- Identifying and resolving performance bottlenecks
- Best practices for streamlining data and control flows
- Utilizing parallelism and batch processing in SSIS
Recap and Future Steps
Requirements
- Foundational knowledge of SQL and relational database principles
- Working familiarity with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Software developers
- Database administrators
