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Learning Apache Spark 2
Learning Apache Spark 2

Learning Apache Spark 2: A beginner's guide to real-time Big Data processing using the Apache Spark framework

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Learning Apache Spark 2

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Key benefits

  • Familiarize yourself with the new features introduced in Apache Spark 2, as well as its components for Big Data processing and analytics
  • Manipulate your data, perform stream analytics and machine learning, and deploy your Spark models to production using practical examples
  • If you are new to Apache Spark and want to quickly get started with it, this book will help you

Description

Apache Spark has seen an unprecedented growth in terms of its adoption over the last few years, mainly because of its speed, diversity and real-time data processing capabilities. It has quickly become the preferred choice of tool for many Big Data professionals looking to find quick insights from large chunks of data. This book introduces you to the Apache Spark framework, and familiarizes you with all the latest features and capabilities introduced in Spark 2. Starting with a detailed introduction to Spark’s architecture and the installation procedure, this book covers everything you need to know about the Spark framework in the most practical manner. You will learn how to perform the basic ETL activities using Spark, and work with different components of Spark such as Spark SQL, as well as the Dataset and DataFrame APIs for manipulating your data. Then, you will perform machine learning using Spark MLlib, as well as perform streaming analytics and graph processing using the Spark Streaming and GraphX modules respectively. The book also gives special emphasis on deploying your Spark models, and how they can be operated in a clustered mode. During the course of the book, you will come across implementations of different real-world use-cases and examples, giving you the hands-on knowledge you need to use Apache Spark in the best possible manner.

Who is this book for?

This book is intended for aspiring Big Data professionals and anyone who wants to get started with Apache Spark for Big Data processing and analytics. If you’ve worked with Apache Spark before and want to get familiarized with the new features introduced in Spark 2, this book will also help you. Some fundamental understanding of Big Data concepts and knowledge of Scala programming is required to get the best out of this book.

What you will learn

  • Get a thorough overview of Big Data processing and analytics, and its importance to organizations and data professionals
  • Get familiarized with the Apache Spark ecosystem, and the new features released in Spark 2 for data processing and analysis
  • Get a thorough understanding of different modules of Apache Spark such as Spark SQL, Spark RDD, Spark Streaming, Spark MLlib and GraphX
  • Work with data of different file formats, and learn how to process it with Apache Spark
  • Introduce yourself to SparkR and walk through the details of data munging including selecting, aggregating and grouping data using R studio
  • Realize how to deploy Spark with YARN, MESOS or a Stand-alone cluster manager
  • Build effective recommendation engines with Spark using collaborative filtering

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 28, 2017
Length: 356 pages
Edition : 1st
Language : English
ISBN-13 : 9781785889585
Category :
Languages :

What do you get with eBook?

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Product Details

Publication date : Mar 28, 2017
Length: 356 pages
Edition : 1st
Language : English
ISBN-13 : 9781785889585
Category :
Languages :

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Table of Contents

11 Chapters
1. Architecture and Installation Chevron down icon Chevron up icon
2. Transformations and Actions with Spark RDDs Chevron down icon Chevron up icon
3. ETL with Spark Chevron down icon Chevron up icon
4. Spark SQL Chevron down icon Chevron up icon
5. Spark Streaming Chevron down icon Chevron up icon
6. Machine Learning with Spark Chevron down icon Chevron up icon
7. GraphX Chevron down icon Chevron up icon
8. Operating in Clustered Mode Chevron down icon Chevron up icon
9. Building a Recommendation System Chevron down icon Chevron up icon
10. Customer Churn Prediction Chevron down icon Chevron up icon
Theres More with Spark Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Half star icon Empty star icon 3.8
(6 Ratings)
5 star 50%
4 star 0%
3 star 33.3%
2 star 16.7%
1 star 0%
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Top Reviews

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Shambhu Nath Mar 13, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Delivery is awesome ! this book is used simple english language, So good for beginner, also explanations is good but I felt screenshot print is not so good !Thanks,Shambhu Nath
Amazon Verified review Amazon
Ivan Falcão Oct 17, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excelente livro. Apresenta uma base teórica considerável, além de diversos exemplos práticos. Certamente uma das melhores opções pra quem quer aprender mais spark
Amazon Verified review Amazon
Kalaiselvan Dec 25, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Simple language, good book for hands on development
Amazon Verified review Amazon
Deepak May 20, 2019
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Not much in details. Tells only on high level and gives the link to refer for further details. Returned it. Ordered learning spark from orielly.
Amazon Verified review Amazon
Jose VL Jun 21, 2017
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Nice reading to learn about Spark. I'd have liked to see more information for developers ... maybe next edition :-)
Amazon Verified review Amazon
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