Azure Data Factory Bootcamp: From Beginner to Expert
This course helps you master Azure Data Factory, build scalable pipelines, integrate data, orchestrate workflows, and excel in data engineering roles.
4.8
52 Lessons
7h
Join 2.8 million developers at
Azure has become a leading cloud platform. Expertise in ADF opens doors to lucrative roles in data engineering and analytics.
This course provides you with the essential skills to master Azure Data Factory. You’ll start with ADF’s core concepts, architecture, and data connectivity to both on-premises and cloud sources. Through hands-on lessons and real-world examples, you’ll learn to create, manage, and monitor pipelines, handle incremental data loads, and work with version control using Git. Advanced topics include big data integration with Azure SQL, HDInsight, and Hive and designing analytics and machine learning workflows.
After completing this course, you’ll confidently design, develop, and maintain data pipelines in Azure Data Factory. You’ll be equipped to tackle integration challenges, optimize cost and performance, ensure scalability and high availability, and implement data governance and security—boosting your career prospects in data engineering and analytics.
Azure has become a leading cloud platform. Expertise in ADF opens doors to lucrative roles in data engineering and analytics.
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WHAT YOU'LL LEARN
An understanding of Azure Data Factory’s fundamentals, benefits, and role in data integration and processing
Hand-on experience implementing data pipelines in ADF, including data transformation, copying, masking, and scheduling
Proficiency in big data processing techniques using Azure SQL, HDInsight, and Hive and leveraging machine learning capabilities in ADF
The ability to connect ADF to various data sources, both on-premises and in the cloud, and perform data profiling and modeling
An understanding of Azure Data Factory’s fundamentals, benefits, and role in data integration and processing
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Learning Roadmap
Certificate of Completion
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