Data Factory (ETL)
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What is Data Factory (ETL)?
Data Factory, most commonly referring to Microsoft's Azure Data Factory, is a cloud-based data integration service that allows you to create, schedule, and orchestrate workflows to move and transform data from various sources into a centralized location for analysis. It provides tools for building Extract, Transform, and Load (ETL) pipelines, enabling businesses to prepare data for analytics, business intelligence, and other data-driven initiatives without extensive coding, thanks to its visual, code-free interface and native connectors.
Free resources to learn Data Factory (ETL)
- CourseMicrosoft Azure - Data Factory
- Official docsWhat is Azure Data Factory?
- Official docsAzure Data Factory Documentation
More in stage 26: Cluster Computing Basics
Data Factory (ETL): common questions
Can I learn Data Factory (ETL) in Hindi?
This lesson is written in English. Once you sign in, open it in the interactive course and ask the AI tutor to explain Data Factory (ETL) in Hindi or Hinglish. The tutor answers from this lesson’s own text, so it stays on the syllabus, and it runs on your own Google, OpenAI or Anthropic key.
Is this Data Factory (ETL) tutorial for beginners?
It is lesson 95 of 186 in the free Data Engineer roadmap, in stage 26, Cluster Computing Basics. If you are new to Data Engineer, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.