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Duration 14 hours
Course Outline
Architecting Data Flows
- Examining data flow tasks and transformation components
- Integrating various data sources and output destinations
- Applying standard data transformation methods
- Addressing data quality challenges
Control Flow Management in SSIS
- Analyzing control flow task functionalities
- Utilizing containers to orchestrate control flow
- Incorporating loops and conditional branching logic
- Directing the overall package execution sequence
Advanced Transformation Strategies
- Leveraging sophisticated transformation tools
- Performing data cleansing, validation, and enrichment
- Employing aggregation and summarization techniques
- Deep dive into implementing Slowly Changing Dimensions (SCD)
Leveraging Variables and Parameters
- Fundamentals of variables and parameter usage
- Controlling package behavior through variable management
- Dynamically configuring package properties
Supervising SSIS Package Execution
- Setting execution options and preferences
- Developing error handling and logging strategies
- Employing event handlers for runtime event management
- Scheduling and automating runs via SQL Server Agent
Deployment and Administration of SSIS Packages
- Exploring deployment models specific to SQL Server 2022
- Deploying packages to the SSIS catalog
- Monitoring performance and resolving issues in deployed packages
Performance Optimization and Tuning
- Identifying and resolving performance bottlenecks
- Adopting best practices for data and control flow optimization
- Implementing parallelism and batch processing techniques in SSIS
Conclusion and Recommended Next Steps
Requirements
- Fundamental knowledge of SQL and relational database structures
- Working familiarity with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Software developers
- Database administrators