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Duration 14 hours
Course Outline
Designing Data Flows
- Overview of data flow tasks and transformations
- Utilising data sources and destinations
- Applying common data transformations
- Addressing data quality issues
Control Flow in SSIS
- Comprehending control flow tasks
- Leveraging containers to manage control flow
- Implementing loops and conditional logic
- Orchestrating package execution flow
Advanced Data Transformation Techniques
- Utilising advanced transformations
- Data cleansing, validation, and enrichment
- Aggregation and summarisation techniques
- Detailed implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Introduction to variables and parameters
- Using variables to control package behaviour
- Dynamic configuration of package properties
Managing SSIS Package Execution
- Configuring package execution options
- Error handling and logging strategies
- Utilising 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 Optimisation
- Identifying and resolving performance bottlenecks
- Best practices for optimising data flows and control flows
- Parallelism and batch processing in SSIS
Summary and Next Steps
Requirements
- A foundational understanding of SQL and relational database concepts
- Familiarity with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Developers
- Database administrators
