Explaining Data Lake Versus Data Warehouse in Less Than 60 Seconds | Cloud Storage

Data Warehouse vs Data Lake | What is the Difference? (2024)
In this video, we delve into the fundamental differences between Data Warehouses and Data Lakes and understand the pros and cons of each of these data management techniques.
One of the most common interview questions when you are applying for any data based roles such as data analyst, data engineer, data scientist or data manager.
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[@Shikha_motwani]

Database and datawarehouse is schema on write and datalake is schema on read we can also put data in any format without worry of schema mismatch in datalake but in database or datawarehouse we can only put the data which is transformed in desired schema type

[@keerthanasrinivas2125]

Also datawarehouse is schema of write and data lake is schema on read

[@sumitmittal07]

that's a good point

[@Aeyzaz]

Based on what you said, its ETL. Extract Transform and then Load.

[@vaasvijain6948]

Wow perfect 🤩🤩🤩

[@sumitmittal07]

Thanks 🤗

[@jaisriram8989]

Excellent content! 😊👌🏻

[@sumitmittal07]

Thank you! 😃

[@girishahb01]

+ data in data lake stored in native formats.