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Duration 14 hours
Course Outline
Designing Data Flows
- Exploration of data flow tasks and transformation capabilities
- Integration of data sources and destinations
- Application of standard data transformations
- Strategies for resolving data quality challenges
Control Flow in SSIS
- Comprehension of control flow tasks
- Utilization of containers to structure control flow
- Implementation of loops and conditional logic
- Orchestration of package execution sequences
Advanced Data Transformation Techniques
- Leveraging advanced transformation tools
- Data cleansing, validation, and enrichment methods
- Techniques for aggregation and summarization
- In-depth implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Overview of variables and parameters
- Utilizing variables to regulate package behavior
- Dynamic adjustment of package properties
Managing SSIS Package Execution
- Configuration of package execution settings
- Establishing error handling and logging frameworks
- Management of runtime events via event handlers
- Scheduling and automating tasks using SQL Server Agent
Deploying and Managing SSIS Packages
- Deployment models available in SQL Server 2022
- Placing packages into the SSIS catalog
- Monitoring and diagnosing deployed packages
Performance Tuning and Optimization
- Detection and resolution of performance bottlenecks
- Best practices for optimizing data and control flows
- Implementation of parallelism and batch processing in SSIS
Summary and Next Steps
Requirements
- A foundational grasp of SQL and relational database principles
- Experience with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Developers
- Database administrators
