Big Data Best Practices and Guidelines

In course

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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.

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_gtn9vkgw

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Ontological neighbourhood

Computer engineering

Computer data storage: File systems, Topics in computer data storage

High-performance computing: Distributed computing

Information engineering

Data science: Topics in data science

Business

Business administration: Data management

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