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Lecture

Spark Data Frames: Overview and Performance Analysis

In course

COM-490: Large-scale data science for real-world data

This hands-on course covers tools and methods used by data scientists, from researching solutions to scaling prototypes on Spark clusters. Students engage with the full data engineering and data science pipeline, from data acquisition to extracting insight ...

Description

This lecture introduces Spark Data Frames, discussing their origin, performance advantages over RDDs, and when to use them. It covers the Catalyst Optimizer, PySpark integration, and the transition to DataSets. The instructor also explores the analysis of the Gutenberg corpus using Spark.

Instructors (3)

Olivier Verscheure

Sofiane Sarni

Pamela Isabel Delgado Borda

I am a PhD student in the School of Computer and Communication Sciences at EPFL. I am part of the Operating Systems Laboratory and my advisor is Prof. Willy Zwaenepoel. I received my Bachelor's degree in Systems Engineering from Universidad Catolica Boliviana, Bolivia in 2008 and Master's degree in Computer Science, specialization Foundations of Software from EPFL in 2012.

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