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Duration 14 hours
Course Outline
Designing Data Flows
- Introduction to data flow tasks and transformation mechanisms
- Connecting and utilizing various data sources and destinations
- Executing standard data transformation operations
- Strategies for addressing data quality challenges
Control Flow in SSIS
- Analyzing the role of control flow tasks
- Utilizing containers to orchestrate control flow
- Building loops and conditional logic structures
- Regulating the overall package execution sequence
Advanced Data Transformation Techniques
- Applying complex transformation methods
- Performing data cleansing, validation, and enrichment
- Techniques for aggregation and data summarization
- Detailed implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Foundations of variables and parameter usage
- Leveraging variables to modulate package behavior
- Dynamically configuring package properties
Managing SSIS Package Execution
- Setting up package execution configurations
- Establishing error handling and logging protocols
- Handling runtime events via event handlers
- Automating and scheduling execution using SQL Server Agent
Deploying and Managing SSIS Packages
- Exploring deployment models in SQL Server 2022
- Deploying packages to the SSIS catalog
- Monitoring performance and troubleshooting deployed packages
Performance Tuning and Optimization
- Diagnosing and resolving performance bottlenecks
- Best practices for optimizing both data and control flows
- Implementing parallelism and batch processing in SSIS
Summary and Next Steps
Requirements
- Fundamental knowledge of SQL and relational database principles
- Experience with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Software developers
- Database administrators
