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Apache Spark for Machine Learning
book

Apache Spark for Machine Learning

by Deepak Gowda
November 2024
Intermediate to advanced
306 pages
7h 57m
English
Packt Publishing
Content preview from Apache Spark for Machine Learning

2

Data Processing with Spark

Data processing is an essential step in data analysis and machine learning, as it involves transforming, cleaning, and integrating raw data into a suitable format for further processing. In this chapter, we will introduce the basic concepts and principles of data processing, providing some practical examples and use cases of data preprocessing with Apache Spark.

In this chapter, we will cover the following topics:

  • Understanding data preprocessing
  • Ingesting data
  • Cleaning and transforming data
  • Aggregating data
  • Windowing in Spark
  • Data joining

By the end of this chapter, you will know the different data processing techniques using Spark.

Technical requirements

You can find the code files for this chapter on GitHub ...

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Publisher Resources

ISBN: 9781804618165