Mastering SQL Server Integration Services (SSIS) from Scratch to Advanced 2021 Edition
Course Overview This comprehensive course is designed to take you from a beginner to an advanced user of SQL Server Integration Services (SSIS). With a focus on practical, real-world applications, you'll gain hands-on experience and in-depth knowledge of SSIS.
Course Outline Module 1: Introduction to SSIS
- Overview of SSIS and its importance in data integration
- Understanding the SSIS architecture
- Exploring the SSIS tools and features
- Setting up the development environment
Module 2: SSIS Fundamentals
- Creating a new SSIS project
- Understanding the SSIS package structure
- Working with variables and parameters
- Using the SSIS toolbox
Module 3: Data Flow Task
- Introduction to the Data Flow Task
- Configuring data sources and destinations
- Using data transformation components
- Handling data errors and exceptions
Module 4: Control Flow Task
- Introduction to the Control Flow Task
- Using control flow tasks and containers
- Configuring task properties and expressions
- Handling errors and exceptions in control flow
Module 5: Data Transformation
- Data transformation components
- Using data conversion and data casting
- Performing data aggregation and grouping
- Using data sorting and data merging
Module 6: Data Loading and Exporting
- Loading data into SQL Server destinations
- Exporting data to flat files and Excel
- Using the SSIS data loading and exporting best practices
Module 7: Error Handling and Debugging
- Understanding SSIS error handling
- Using breakpoints and debugging tools
- Configuring error handling and logging
- Troubleshooting common SSIS issues
Module 8: Advanced SSIS Topics
- Using advanced data transformation components
- Configuring SSIS for high-performance data loading
- Using SSIS with other Microsoft products
- Best practices for deploying and maintaining SSIS packages
Module 9: Security and Deployment
- Understanding SSIS security features
- Configuring package security and encryption
- Deploying SSIS packages to production
- Using the SSIS deployment and maintenance best practices
Module 10: Advanced Deployment and Maintenance
- Using the SSIS catalog and environments
- Configuring SSIS project and package deployment
- Monitoring and troubleshooting SSIS packages
- Using the SSIS maintenance and monitoring tools
Module 11: SSIS and Azure
- Introduction to SSIS and Azure
- Using SSIS with Azure Data Factory
- Configuring SSIS for Azure deployment
- Using the SSIS Azure features and tools
Course Features - Interactive and Engaging: Learn through hands-on projects and real-world examples
- Comprehensive and Personalized: Get access to a wealth of resources and support
- Up-to-date and Practical: Stay current with the latest SSIS features and best practices
- High-quality Content: Learn from expert instructors with years of experience
- Certification: Receive a certificate upon completion issued by The Art of Service
- Flexible Learning: Learn at your own pace and on your own schedule
- User-friendly and Mobile-accessible: Access the course from anywhere, on any device
- Community-driven: Join a community of learners and get support and feedback
- Actionable Insights: Get practical knowledge and skills that you can apply immediately
- Hands-on Projects: Work on real-world projects to build your skills and confidence
- Bite-sized Lessons: Learn in small, manageable chunks
- Lifetime Access: Get access to the course materials for life
- Gamification and Progress Tracking: Stay motivated and track your progress
What You'll Receive Upon Completion Upon completing the course, you'll receive a certificate issued by The Art of Service, demonstrating your mastery of SSIS.,
Module 1: Introduction to SSIS
- Overview of SSIS and its importance in data integration
- Understanding the SSIS architecture
- Exploring the SSIS tools and features
- Setting up the development environment
Module 2: SSIS Fundamentals
- Creating a new SSIS project
- Understanding the SSIS package structure
- Working with variables and parameters
- Using the SSIS toolbox
Module 3: Data Flow Task
- Introduction to the Data Flow Task
- Configuring data sources and destinations
- Using data transformation components
- Handling data errors and exceptions
Module 4: Control Flow Task
- Introduction to the Control Flow Task
- Using control flow tasks and containers
- Configuring task properties and expressions
- Handling errors and exceptions in control flow
Module 5: Data Transformation
- Data transformation components
- Using data conversion and data casting
- Performing data aggregation and grouping
- Using data sorting and data merging
Module 6: Data Loading and Exporting
- Loading data into SQL Server destinations
- Exporting data to flat files and Excel
- Using the SSIS data loading and exporting best practices
Module 7: Error Handling and Debugging
- Understanding SSIS error handling
- Using breakpoints and debugging tools
- Configuring error handling and logging
- Troubleshooting common SSIS issues
Module 8: Advanced SSIS Topics
- Using advanced data transformation components
- Configuring SSIS for high-performance data loading
- Using SSIS with other Microsoft products
- Best practices for deploying and maintaining SSIS packages
Module 9: Security and Deployment
- Understanding SSIS security features
- Configuring package security and encryption
- Deploying SSIS packages to production
- Using the SSIS deployment and maintenance best practices
Module 10: Advanced Deployment and Maintenance
- Using the SSIS catalog and environments
- Configuring SSIS project and package deployment
- Monitoring and troubleshooting SSIS packages
- Using the SSIS maintenance and monitoring tools
Module 11: SSIS and Azure
- Introduction to SSIS and Azure
- Using SSIS with Azure Data Factory
- Configuring SSIS for Azure deployment
- Using the SSIS Azure features and tools