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Duration 14 hours
Course Outline
Designing Data Flows
- Review of data flow tasks and transformation components
- Managing various data sources and destinations
- Application of standard data transformations
- Strategies for addressing data quality challenges
Control Flow in SSIS
- Comprehending control flow task mechanics
- Utilizing containers for structured control flow management
- Implementing loops and conditional logic blocks
- Orchestrating overall package execution sequences
Advanced Data Transformation Techniques
- Leveraging complex transformation features
- Data cleansing, validation, and enrichment processes
- Methods for aggregation and summarization
- Detailed implementation of Slowly Changing Dimensions (SCD)
Utilizing Variables and Parameters
- Concepts of variables and parameters in SSIS
- Using variables to dictate dynamic package behavior
- Runtime configuration of package properties
Managing SSIS Package Execution
- Setting execution options and preferences
- Developing error handling and logging frameworks
- Employing event handlers for runtime event management
- Scheduling and automating tasks via SQL Server Agent
Deploying and Managing SSIS Packages
- Exploring deployment models specific to SQL Server 2022
- Publishing packages to the SSIS catalog
- Monitoring performance and diagnosing issues in deployed packages
Performance Tuning and Optimization
- Detecting and resolving performance bottlenecks
- Best practices for optimizing both data and control flows
- Applying parallelism and batch processing strategies in SSIS
Summary and Next Steps
Requirements
- Fundamental knowledge of SQL and relational database structures
- Competence with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Software developers
- Database administrators
