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Duration 14 hours
Course Outline
Designing Data Flows
- Introduction to data flow tasks and transformation concepts
- Interfacing with various data sources and destinations
- Applying standard data transformation methods
- Mitigating common data quality challenges
Control Flow in SSIS
- Comprehending the mechanics of control flow tasks
- Leveraging containers to structure control flow
- Incorporating loops and conditional logic structures
- Orchestrating the overall package execution sequence
Advanced Data Transformation Techniques
- Utilizing sophisticated transformation components
- Performing data cleansing, validation, and enrichment
- Employing aggregation and summarization strategies
- In-depth implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Foundations of variables and parameter usage
- Controlling package behavior through variable manipulation
- Achieving dynamic configuration of package properties
Managing SSIS Package Execution
- Setting up optimal package execution parameters
- Developing error handling and logging protocols
- Managing runtime events via event handlers
- Scheduling and automating runs using SQL Server Agent
Deploying and Managing SSIS Packages
- Exploring deployment models in SQL Server 2022
- Pushing packages to the SSIS catalog
- Monitoring performance and resolving issues in deployed packages
Performance Tuning and Optimization
- Detecting and resolving performance bottlenecks
- Best practices for streamlining data and control flows
- Optimizing 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
