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Jean-Georges Perrin

Spark in Action, Second Edition: Covers Apache Spark 3 with Examples in Java, Python, and Scala 2nd Edition

by Jean-Georges Perrin (Author)

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Summary
The Spark distributed data processing platform provides an easy-to-implement tool for ingesting, streaming, and processing data from any source. In Spark in Action, Second Edition, you’ll learn to take advantage of Spark’s core features and incredible processing speed, with applications including real-time computation, delayed evaluation, and machine learning. Spark skills are a hot commodity in enterprises worldwide, and with Spark’s powerful and flexible Java APIs, you can reap all the benefits without first learning Scala or Hadoop.

Foreword by Rob Thomas.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology
Analyzing enterprise data starts by reading, filtering, and merging files and streams from many sources. The Spark data processing engine handles this varied volume like a champ, delivering speeds 100 times faster than Hadoop systems. Thanks to SQL support, an intuitive interface, and a straightforward multilanguage API, you can use Spark without learning a complex new ecosystem.

About the book
Spark in Action, Second Edition, teaches you to create end-to-end analytics applications. In this entirely new book, you’ll learn from interesting Java-based examples, including a complete data pipeline for processing NASA satellite data. And you’ll discover Java, Python, and Scala code samples hosted on GitHub that you can explore and adapt, plus appendixes that give you a cheat sheet for installing tools and understanding Spark-specific terms.

What's inside

Writing Spark applications in Java
Spark application architecture
Ingestion through files, databases, streaming, and Elasticsearch
Querying distributed datasets with Spark SQL

About the reader
This book does not assume previous experience with Spark, Scala, or Hadoop.

About the author
Jean-Georges Perrin is an experienced data and software architect. He is France’s first IBM Champion and has been honored for 12 consecutive years.

Table of Contents

PART 1 - THE THEORY CRIPPLED BY AWESOME EXAMPLES

1 So, what is Spark, anyway?

2 Architecture and flow

3 The majestic role of the dataframe

4 Fundamentally lazy

5 Building a simple app for deployment

6 Deploying your simple app

PART 2 - INGESTION

7 Ingestion from files

8 Ingestion from databases

9 Advanced ingestion: finding data sources and building

your own

10 Ingestion through structured streaming

PART 3 - TRANSFORMING YOUR DATA

11 Working with SQL

12 Transforming your data

13 Transforming entire documents

14 Extending transformations with user-defined functions

15 Aggregating your data

PART 4 - GOING FURTHER

16 Cache and checkpoint: Enhancing Spark’s performances

17 Exporting data and building full data pipelines

18 Exploring deployment

ISBN-10

1617295523
ISBN-13

978-1617295522
Edition

2nd
Publisher

Manning
Publication date

June 2, 2020
Language

English
Dimensions

7.38 x 1.2 x 9.25 inches
Print length

576 pages
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Editorial Reviews

Review

"This book reveals the tools and secrets you need to drive innovation in your company or community."
--Rob Thomas, IBM

"An indispensable, well-paced, and in-depth guide. A must-have for anyone into big data and real-time stream processing."
--Anupam Sengupta, GuardHat Inc.

"This book will help spark a love affair with distributed processing."
--Conor Redmond, InComm Product Control

"Currently the best book on the subject!"
--Markus Breuer, Materna IPS

"I am a big fan of your approach to Data Engineering, your book on Spark, and loved your talks... I am training Data Engineers at my company and your Spark in Action, 2e book is a mandatory material for it!"
-- Thiago de Faria, LINKIT

From the Author

This project has been an effort spread over more than three years, with lots of energy spent in research, finding the right examples and use-cases, and, finally, enhancing the book based on the feedback from editors and reviewers. It has been intense. Spark in Action, Second Edition, is overflowing with illustrations with over 180 diagrams, labs, and real-life data sets including NASA; I deliberately focused on using examples that are very close to real-life datasets, to make sure the reader is exposed to edge cases.The choice of Java as the programming language allows this to reach more developers interested in the fields of big data and analytics.

Product details

Publisher ‏ : ‎ Manning; 2nd edition (June 2, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 576 pages
ISBN-10 ‏ : ‎ 1617295523
ISBN-13 ‏ : ‎ 978-1617295522
Item Weight ‏ : ‎ 2.29 pounds
Dimensions ‏ : ‎ 7.38 x 1.2 x 9.25 inches

Best Sellers Rank: #553,178 in Books (See Top 100 in Books)
- #164 in Java Programming
- #398 in Data Processing
- #654 in Python Programming

Customer Reviews:
40 ratings

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Jean-Georges Perrin

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Jean-Georges "jgp" Perrin is a technology leader focusing on building innovative and modern data platforms at PayPal, president of AIDAUG, and author of Spark in Action, 2nd edition (Manning). He is passionate about software engineering and all things data, small and big data. His latest endeavors bring to more and more data engineering, data governance, industrialization of data science, and his favorite theme, the Data Mesh. He is proud to have been recognized as a Lifetime IBM Champion. Jean-Georges shares his more than 25 years of experience in the IT industry as a presenter and participant at conferences and publishing articles in print and online media. His blog is visible at http://jgp.ai. When not immersed in IT, which he loves, he enjoys exploring Upstate New York and New England with his wife and kids.

Customer reviews

4.3 out of 5

40 global ratings

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4 star		13%
3 star		10%
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Jaqen

just use the official documents

Reviewed in the United States 🇺🇸 on December 27, 2022

Verified Purchase

Not useful enough to validate the price, just read the official Spark Docs.

Kinda waste of money to be honest.

Helpful

Joseph S. Cho

Generally this book is good, but example code is not kindly explained in the book.

Reviewed in the United States 🇺🇸 on November 11, 2021

Verified Purchase

Author writes his book about a particula DB such as PostgreSQL without detail explanation how to reach the diagram in his book such as Figure 2.2

Helpful

SRallapa

Useful, code samples that work and good explanation of concepts

Reviewed in the United States 🇺🇸 on June 5, 2021

Verified Purchase

Needed a book that would explain how to write and deploy.a Spark data source for a weekend project. Done and Done. Only gripe: the lambda usage doesn't work with Spark 3.1.1.

One person found this helpful

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Amazon Customer

meh

Reviewed in the United States 🇺🇸 on August 3, 2021

Verified Purchase

A bit obscure and all over the place. Probably a good source for someone who really wants to dig into the details. I will say it provides a good mix of physical architecture (how things work) and light to medium coding examples. I was looking for a nicer progression of coding examples, specifically in Python.

One person found this helpful

Helpful

R. C. Rathore

Outstanding!

Reviewed in the United States 🇺🇸 on November 29, 2020

Verified Purchase

Wow! It was a pleasure to read the book. I highly recommend it. It has passion, detailed explanations, well organized chapters, fully-functional code, and a great companion github site. Totally opposite in every respect to the crappy 'Spark: The definitive guide' by Chambers and Zaharia (O'Reilly 2018).

8 people found this helpful

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Yug Shende

All examples are in Java and Python.

Reviewed in the United States 🇺🇸 on October 21, 2020

Verified Purchase

Awesome book. Covered all topics pertaining to spark pyspark and rdd that was being taught in my course.

3 people found this helpful

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Ilya Palatnik

good style

Reviewed in the United States 🇺🇸 on December 18, 2020

Verified Purchase

pretty usefull

3 people found this helpful

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Dimitri Shvorob

If language == "Java" then buy else pass

Reviewed in the United States 🇺🇸 on October 8, 2020

Wishing to learn Spark, I signed up for Databricks Associate Spark Developer certification exam - Python flavor - and ordered off Amazon a number of Spark books, avoiding Scala-based titles, and older titles pre-dating the DataFrame API. I ended up with the following list:

"Learning PySpark" by Drabas and Lee, published by Packt in 2017
"Frank Kane's Taming Big Data with Apache Spark and Python" by (no surprise) Kane, Packt, 2017
"Data Analytics with Spark Using Python" by Aven, Addison Wesley, 2018
"PySpark Cookbook" by (once again) Drabas and Lee, Packt, 2018
"Developing Spark Applications with Python" by Morera and Campos, self-published in 2019
"PySpark Recipes" by Mishra, Apress, 2017
"Learning Spark" by Damjil et al., O'Reilly, 2020
"Beginning Apache Spark Using Azure Databricks" by Ilijason, Apress, 2020
"Spark: The Definitive Guide" by Chambers and Zaharia, O'Reilly, 2018

Databricks themselves point to "Learning Spark" and "Spark: The Definitive Guide" as preparation aids, so I started with these, skimming both books - and strongly preferring "The Definitive Guide" - and then took a look at the others. You can see my reviews of those titles on their respective Amazon pages, but I can summarize and say that only Chambers-Zaharia and Ilijason are worth considering.

... and then I realized that I missed "Spark in Action". The exam is already taken - and passed, making me a Spark expert ;) - but I thought I needed to take a look, e.g. to see how this tome compares to Chambers-Zaharia.

Well, it could not be further away. "Definitive Spark" has Scala and Python illustrations, and "Spark in Action" is pure Java. "Definitive Spark" is a comprehensive and clearly structured reference, and "Spark in Action" is a limited hands-on tutorial. Between the two heavy tomes, "Definitive Spark" seems to pack *far* more payload, and non-Java-specific content in "Spark in Action" is not remarkable.

It's the Java focus, then, that must be the book's "unique selling proposiiton". Java guys, buy it. Scala/Python/undecided folks, don't bother.

31 people found this helpful

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