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Duration 14 hours
Course Outline
Designing Data Flows
- Introduction to data flow tasks and transformations
- Integrating various data sources and destinations
- Applying standard data transformation techniques
- Strategies for addressing data quality concerns
Control Flow in SSIS
- Comprehending control flow tasks
- Utilising containers to orchestrate control flow
- Incorporating loops and conditional logic
- Overseeing the execution flow of packages
Advanced Data Transformation Techniques
- Leveraging advanced transformation methods
- Data cleansing, validation, and enrichment processes
- Techniques for aggregation and summarisation
- Detailed implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Introduction to variables and parameters
- Using variables to influence package behaviour
- Dynamic configuration of package properties
Managing SSIS Package Execution
- Configuring execution options for packages
- Strategies for error handling and logging
- Employing event handlers to manage runtime events
- 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 Optimisation
- Identifying and resolving performance bottlenecks
- Best practices for optimising data and control flows
- Leveraging parallelism and batch processing in SSIS
Summary and Next Steps
Requirements
- Fundamental understanding of SQL and relational database principles
- Proficiency with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Developers
- Database administrators
