Fast Data Processing with Spark 2

Accelerate your data for rapid insight

Publisher:Packt Publishing Limited

Paid access

|Jul 2025

E-Book €25.99Institutions €125.95

Description

Learn how to use Spark to process big data at speed and scale for sharper analytics. Put the principles into practice for faster, slicker big data projects.

Key Features

A quick way to get started with Spark – and reap the rewards
From analytics to engineering your big data architecture, we’ve got it covered
Bring your Scala and Java knowledge – and put it to work on new and exciting problems

Book Description

When people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it’s unsurprising that it’s becoming popular with data analysts and engineers everywhere.
Beginning with the fundamentals, we’ll show you how to get set up with Spark with minimum fuss. You’ll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we’ll make sure you know exactly how to apply your knowledge.
You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that’s not enough, you’ll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you learn more about the GraphX API.

What you will learn

Install and set up Spark in your cluster
Prototype distributed applications with Spark s interactive shell
Perform data wrangling using the new DataFrame APIs
Get to know the different ways to interact with Spark s distributed representation of data (RDDs)
Query Spark with a SQL-like query syntax
See how Spark works with big data
Implement machine learning systems with highly scalable algorithms
Use R, the popular statistical language, to work with Spark
Apply interesting graph algorithms and graph processing with GraphX

Who this book is for

This book is for developers with little to no knowledge of Spark, but with a background in Scala/Java programming. It’s recommended that you have experience in dealing and working with big data and a strong interest in data science.

Installing Spark and Setting Up Your Cluster
Using the Spark Shell
Building and Running a Spark Application
Creating a SparkSession
Loading and Saving Data in Spark
Manipulating Your RDD
Spark 2.0 Concepts
Spark SQL
Foundations of Da-tasets/DataFrames - The pro-verbial workhorse for DataSci-entists
Spark with Big Data
Machine Learning with Spark ML Pipelines
Graphx

https://github.com/packtpublishing/fast-data-processing-with-spark-2

Table of contents

Resources

Metrics

PDF ISBN: 978-1-78588-296-8

Publisher: Packt Publishing Limited

Publication date: 2025

Language: English

Pages: 274

Related subjects:

Computer sciences,

Databases and data mining