Lecture

Big Data Best Practices and Guidelines

Description

This lecture provides a general introduction to big data, covering best practices and guidelines. Topics include data lakes, big data architecture, addressing big data challenges, CAP theorem, batch vs. stream processing, and technologies like Hadoop, Hive, and Dask.

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