Data lakes

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What is Data lakes?

Data Lakes are large-scale data repository systems that store raw, untransformed data, in various formats, from multiple sources. They're often used for big data and real-time analytics requirements. Data lakes preserve the original data format and schema which can be modified as necessary.

Free resources to learn Data lakes

More in stage 48: Data Architectures

Data lakes: common questions

Can I learn Data lakes 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 lakes 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 lakes tutorial for beginners?

It is lesson 174 of 200 in the free BI Analyst roadmap, in stage 48, Data Architectures. If you are new to BI Analyst, start from stage 1 and come back here in order; if you already know the earlier stages, this lesson stands on its own.

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