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Course Outline
Designing Data Flows
- Overview of data flow tasks and transformations.
- Working with data sources and destinations.
- Implementing common data transformations.
- Handling data quality issues.
Control Flow in SSIS
- Understanding control flow tasks.
- Using containers to manage control flow.
- Implementing loops and conditional logic.
- Managing package execution flow.
Advanced Data Transformation Techniques
- Using advanced transformations.
- Data cleansing, validation, and enrichment.
- Aggregation and summarization techniques.
- Implementing Slowly Changing Dimensions (SCD) in detail.
Working with Variables and Parameters
- Introduction to variables and parameters.
- Using variables to control package behavior.
- Dynamic configuration of package properties.
Managing SSIS Package Execution
- Configuring package execution options.
- Error handling and logging strategies.
- Using event handlers to manage runtime events.
- Scheduling and automating execution with SQL Server Agent.
Deploying and Managing SSIS Packages
- Deployment models in SQL Server 2022.
- Deploying packages to the SSIS catalog.
- Monitoring and troubleshooting deployed packages.
Performance Tuning and Optimization
- Identifying and addressing performance bottlenecks.
- Best practices for optimizing data flows and control flows.
- Parallelism and batch processing in SSIS.
Summary and Next Steps
Requirements
- Basic understanding of SQL and relational database concepts.
- Familiarity with SQL Server Management Studio (SSMS).
Audience
- Data professionals.
- Developers.
- Database administrators.
14 Hours
Testimonials (1)
The adjustment made in the lecture/lessons by the trainer once he understood the current SSIS application that we are bound to maintain. The topics became more suitable/usable to us.
