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Duration 14 hours
Course Outline
Designing Data Flows
- Overview of essential data flow tasks and transformation components
- Integrating various data sources and destinations
- Applying standard data transformations
- Mitigating data quality challenges
Control Flow in SSIS
- Understanding the mechanics of control flow tasks
- Leveraging containers to orchestrate control flow
- Implementing loops and conditional logic structures
- Managing the overall execution flow of packages
Advanced Data Transformation Techniques
- Utilizing advanced transformation components
- Performing data cleansing, validation, and enrichment
- Techniques for aggregation and summarization
- In-depth implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Introduction to variables and parameters
- Using variables to regulate package behavior
- Dynamic configuration of package properties
Managing SSIS Package Execution
- Configuring execution options for optimal performance
- Strategies for error handling and logging
- Managing runtime events using event handlers
- Scheduling and automating execution via SQL Server Agent
Deploying and Managing SSIS Packages
- Deployment models specific to SQL Server 2022
- Deploying packages to the SSIS catalog
- Monitoring and troubleshooting 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
- A foundational understanding of SQL and relational database principles.
- Proficiency in using SQL Server Management Studio (SSMS).
Target Audience
- Data professionals.
- Software developers.
- Database administrators.
