Lecture

Resource Management in Spark

In course

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Description

This lecture covers resource management in Spark, focusing on architectural choices, fault tolerance, data safety, job recovery, and the limitations of vanilla Spark. It also delves into Spark SQL, data frames, DataFrame operators, user-defined functions, and optimization principles.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_211s1yai

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Ontological neighbourhood

Computer engineering

Databases: Relational databases

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