Spark for Data Science
Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0
Publisher:Packt Publishing Limited
By: Bikramaditya Singhal and Srinivas Duvvuri
Paid access
|Sep 2025
Table of Contents
- Big Data and Data Science - An introduction
- Spark Programming Model
- Introduction to DataFrames
- Unified Data Access
- Data Analysis on Spark
- Machine Learning
- Extending Spark with SparkR
- Analyzing Unstructured Data
- Visualizing Big Data
- Putting it all together
- Building Data Science applications
PDF ISBN: 978-1-78588-477-1
Publisher: Packt Publishing Limited
Copyright owner: © 2016 Packt Publishing Limited
Publication date: 2025
Language: English
Pages: 344
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