Top 20 Data Engineering Tools and 5 Stand Out

Author(s): Anil Tilbe

Originally published on Towards AI.

Top 20 open source data engineering tools, along with 5, which stand out from the rest, to deploy across your data life cycles

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By Jack Anstey from Unsplash

My focus was to consolidate

1. Hadoop: Hadoop is an open source framework [1] that allows for the distributed processing of large datasets across clusters of computers using a simple programming model.

Use cases: — Log Processing: Apache Hadoop is commonly used for processing web server logs. It can handle large volumes of data quickly and efficiently. — Data Analytics: By using Hadoop, you can gain insights into users and operations.- Data Lake: A data lake is a repository of all the data that an organization has… Read the full blog for free on Medium.

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Published via Towards AI