Learn to design, deploy, and schedule robust ETL packages. Master data transformations and automate your data workflows
Description
Are you a data professional looking to master one of the most powerful and widely-used ETL (Extract, Transform, Load) tools on the market? Do you need to efficiently move, clean, and transform data from various sources into a centralized system for reporting and analysis? If so, you’ve come to the right place.
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In a data-driven world, the ability to effectively build and manage data pipelines is a critical, high-demand skill. SQL Server Integration Services (SSIS) is Microsoft’s robust platform for building enterprise-level data integration and transformation solutions. This course is your comprehensive, step-by-step guide to mastering SSIS, taking you from the absolute basics to advanced, real-world applications.
We will start from the ground up, introducing you to the SSIS architecture and how to set up your development environment in Visual Studio. You will learn to build powerful ETL packages by mastering both the Control Flow (the workflow of your package) and the Data Flow (where the data transformation happens). You’ll get hands-on experience with a wide array of essential transformations to merge, sort, cleanse, and aggregate your data from diverse sources like SQL Server databases, Excel spreadsheets, and flat files.
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But we don’t just stop at the basics. You will learn how to create dynamic and reusable packages using variables and parameters, a key skill for any serious developer. We will dive deep into crucial advanced topics like robust error handling and logging to ensure your packages are production-ready. Finally, you will learn the entire deployment lifecycle, from deploying your completed projects to the SSIS Catalog to automating their execution by scheduling jobs with the SQL Server Agent.
By the end of this course, you will have the confidence and practical skills to design, build, and manage complex ETL solutions that can handle real-world business challenges.
Enroll today and take a major step forward in your data career!
Total Students | 21 |
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Duration | 600 questions |
Language | English (US) |
Original Price | |
Sale Price | 0 |
Number of lectures | 0 |
Number of quizzes | 6 |
Total Reviews | 0 |
Global Rating | 0 |
Instructor Name | Bikash Mallik |
Course Insights (for Students)
Actionable, non-generic pointers before you enroll
Student Satisfaction
78% positive recent sentiment
Momentum
Steady interest
Time & Value
- Est. time: 600 questions
- Practical value: 5/10
Roadmap Fit
- Beginner → → Advanced
Key Takeaways for Learners
- Reporting
Course Review Summary
Signals distilled from the latest Udemy reviews
What learners praise
Clear explanations and helpful examples.
Watch-outs
No consistent issues reported.
Difficulty
Best suited for
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