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Duration 14 hours
Course Outline
Designing Data Flows
- An overview of data flow tasks and transformations
- Integrating various data sources and destinations
- Applying standard data transformations
- Addressing data quality challenges
Control Flow in SSIS
- Understanding the mechanics of control flow tasks
- Utilizing containers to structure control flow
- Incorporating loops and conditional logic
- Directing the execution flow of packages
Advanced Data Transformation Techniques
- Leveraging sophisticated transformations
- Performing data cleansing, validation, and enrichment
- Applying aggregation and summarization methods
- Detailed implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Foundations of variables and parameters
- Using variables to dictate package behavior
- Dynamically configuring package properties
Managing SSIS Package Execution
- Setting up package execution options
- Developing error handling and logging strategies
- Managing runtime events through event handlers
- Scheduling and automating execution via SQL Server Agent
Deploying and Managing SSIS Packages
- Exploring deployment models in SQL Server 2022
- Deploying packages to the SSIS catalog
- Monitoring and resolving issues in deployed packages
Performance Tuning and Optimization
- Identifying and resolving performance bottlenecks
- Best practices for optimizing data and control flows
- Leveraging parallelism and batch processing in SSIS
Summary and Next Steps
Requirements
- Foundational knowledge of SQL and relational database concepts.
- Working familiarity with SQL Server Management Studio (SSMS).
Target Audience
- Data professionals
- Developers
- Database administrators
