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Duration 14 hours
Course Outline
Architecting Data Flows
- Introduction to data flow tasks and transformation components
- Integrating various data sources and destinations
- Applying standard data transformation methods
- Mitigating data quality challenges
SSIS Control Flow Management
- Exploring control flow task functionalities
- Leveraging containers to organize control flow logic
- Creating loops and conditional branching structures
- Directing the overall package execution sequence
Sophisticated Data Transformation Strategies
- Utilizing advanced transformation tools
- Performing data cleansing, validation, and enrichment
- Applying aggregation and summarization methods
- Detailed implementation of Slowly Changing Dimensions (SCD)
Utilizing Variables and Parameters
- Core concepts of variables and parameters
- Modulating package behavior through variable control
- Implementing dynamic configuration of package properties
Supervising SSIS Package Execution
- Setting up package execution configurations
- Developing error handling and logging protocols
- Employing event handlers for runtime event management
- Automating scheduling and execution via SQL Server Agent
Deployment and Administration of SSIS Packages
- Reviewing deployment models in SQL Server 2022
- Deploying packages to the SSIS catalog
- Monitoring performance and resolving issues in deployed packages
Performance Tuning and Optimization
- Detecting and resolving performance bottlenecks
- Best practices for optimizing both data and control flows
- Utilizing parallelism and batch processing in SSIS
Recap and Future Directions
Requirements
- Fundamental grasp of SQL and relational database principles
- Proficiency with SQL Server Management Studio (SSMS)
Target Learners
- Data professionals
- Developers
- Database administrators