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Duration 14 hours
Course Outline
Designing Data Flows
- Overview of data flow tasks and transformations
- Integrating various data sources and destinations
- Applying common data transformation techniques
- Addressing data quality concerns
Control Flow in SSIS
- Understanding the mechanics of control flow tasks
- Leveraging containers to orchestrate control flow
- Implementing loops and conditional logic
- Regulating the execution flow of packages
Advanced Data Transformation Techniques
- Utilising advanced transformation components
- Data cleansing, validation, and enrichment processes
- Methods for aggregation and summarisation
- Detailed implementation of Slowly Changing Dimensions (SCD)
Working with Variables and Parameters
- Introduction to managing variables and parameters
- Using variables to direct package behaviour
- Dynamically configuring package properties
Managing SSIS Package Execution
- Setting package execution options
- Strategies for error handling and logging
- Utilising event handlers to manage runtime occurrences
- Scheduling and automating runs via SQL Server Agent
Deploying and Managing SSIS Packages
- Deployment models specific to SQL Server 2022
- Publishing packages to the SSIS catalog
- Monitoring and resolving issues in deployed packages
Performance Tuning and Optimization
- Identifying and resolving performance bottlenecks
- Best practices for enhancing data and control flow efficiency
- Implementing parallelism and batch processing in SSIS
Summary and Next Steps
Requirements
- Fundamental understanding of SQL and relational database principles
- Practical familiarity with SQL Server Management Studio (SSMS)
Target Audience
- Data professionals
- Developers
- Database administrators
