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Big Data Analytics

You're reading from   Big Data Analytics Real time analytics using Apache Spark and Hadoop

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781785884696
Length 326 pages
Edition 1st Edition
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Author (1):
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Venkat Ankam Venkat Ankam
Author Profile Icon Venkat Ankam
Venkat Ankam
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Table of Contents (12) Chapters Close

Preface 1. Big Data Analytics at a 10,000-Foot View 2. Getting Started with Apache Hadoop and Apache Spark FREE CHAPTER 3. Deep Dive into Apache Spark 4. Big Data Analytics with Spark SQL, DataFrames, and Datasets 5. Real-Time Analytics with Spark Streaming and Structured Streaming 6. Notebooks and Dataflows with Spark and Hadoop 7. Machine Learning with Spark and Hadoop 8. Building Recommendation Systems with Spark and Mahout 9. Graph Analytics with GraphX 10. Interactive Analytics with SparkR Index

Who this book is for

Though this book is primarily aimed at data analysts and data scientists, it would help architects, programmers, and Big Data practitioners.

For a data analyst: This is useful as a reference guide for data analysts to develop analytical applications on top of Spark and Hadoop.

For a data scientist: This is useful as a reference guide for building data products on top of Spark and Hadoop.

For an architect: This book provides a complete ecosystem overview, examples of Big Data analytical applications, and helps you architect Big Data analytical solutions.

For a programmer: This book provides the APIs and techniques used in Scala and Python languages for building applications.

For a Big Data practitioner: This book helps you to understand the new paradigms and new technologies and make the right decisions.

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