Advanced Spark Optimization

In course

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Description

This lecture covers advanced Spark optimization techniques, focusing on data partitioning, shuffle operations, memory management, and Spark architecture. Topics include RDD manipulation, Spark units of work, memory optimization, and partitioning strategies. The instructor provides insights on minimizing shuffling, optimizing memory usage, and improving data processing efficiency.

Instructors (3)

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Official source

https://mediaspace.epfl.ch/media/0_zp0yfydb

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Ontological neighbourhood

Computer engineering

High-performance computing: Parallel computing

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Analysis: Numerical analysis

Theoretical computer science

Programming language theory: High-level programming languages

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