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All you need is an idea. We handle the rest.
All you need is an idea. We handle the rest.
This course provides a practical and in-depth introduction to ETL (Extract, Transform, Load) using Microsoft SQL Server Integration Services (SSIS)—a powerful tool for data integration, transformation, and workflow automation within the Microsoft BI stack. Learners will explore the SSIS architecture, build data flow tasks, apply transformations, handle errors, and deploy ETL packages in real-world scenarios. With hands-on labs and guided projects, participants will learn how to design dynamic ETL processes that move and cleanse data across various sources and targets including SQL databases, Excel, flat files, and cloud platforms. By the end of this course, participants will: Understand SSIS architecture and components. Develop ETL solutions using Data Flow, Control Flow, and Transformations. Handle errors, logging, and debugging in SSIS packages. Schedule and deploy SSIS packages using SQL Server Agent. Optimize performance and apply best practices for enterprise data pipelines. Ideal for aspiring data engineers, BI developers, or anyone looking to master data movement and transformation within the Microsoft ecosystem.
Bussma team
000
This course provides a practical and in-depth introduction to ETL (Extract, Transform, Load) using Microsoft SQL Server Integration Services (SSIS)—a powerful tool for data integration, transformation, and workflow automation within the Microsoft BI stack. Learners will explore the SSIS architecture, build data flow tasks, apply transformations, handle errors, and deploy ETL packages in real-world scenarios. With hands-on labs and guided projects, participants will learn how to design dynamic ETL processes that move and cleanse data across various sources and targets including SQL databases, Excel, flat files, and cloud platforms. By the end of this course, participants will: Understand SSIS architecture and components. Develop ETL solutions using Data Flow, Control Flow, and Transformations. Handle errors, logging, and debugging in SSIS packages. Schedule and deploy SSIS packages using SQL Server Agent. Optimize performance and apply best practices for enterprise data pipelines. Ideal for aspiring data engineers, BI developers, or anyone looking to master data movement and transformation within the Microsoft ecosystem.
Lessons
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Duration
- Hours
Skill Level
Entry level
Views
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