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Big Data Analytics

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

Product type Paperback

Published in Sep 2016

Publisher Packt

ISBN-13 9781785884696

Length 326 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Big Data

Author (1):

Venkat Ankam

View More author details

Table of Contents (12) Chapters

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

Introducing Apache Hadoop

Apache Hadoop is a software framework that enables distributed processing on large clusters with thousands of nodes and petabytes of data. Apache Hadoop clusters can be built using commodity hardware where failure rates are generally high. Hadoop is designed to handle these failures gracefully without user intervention. Also, Hadoop uses the move computation to the data approach, thereby avoiding significant network I/O. Users will be able to develop parallel applications quickly, focusing on business logic rather than doing the heavy lifting of distributing data, distributing code for parallel processing, and handling failures.

Apache Hadoop has mainly four projects: Hadoop Common, Hadoop Distributed File System (HDFS), Yet Another Resource Negotiator (YARN), and MapReduce.

In simple words, HDFS is used to store data, MapReduce is used to process data, and YARN is used to manage the resources (CPU and memory) of the cluster and common utilities that support Hadoop...

You have been reading a chapter from

Big Data Analytics

Published in: Sep 2016

Publisher: Packt

ISBN-13: 9781785884696

© 2016 Packt Publishing Limited All Rights Reserved

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Authors (1)

Venkat Ankam

Venkat Ankam

Venkat Ankam has over 18 years of IT experience and over 5 years in big data technologies, working with customers to design and develop scalable big data applications. Having worked with multiple clients globally, he has tremendous experience in big data analytics using Hadoop and Spark. He is a Cloudera Certified Hadoop Developer and Administrator and also a Databricks Certified Spark Developer. He is the founder and presenter of a few Hadoop and Spark meetup groups globally and loves to share knowledge with the community. Venkat has delivered hundreds of trainings, presentations, and white papers in the big data sphere. While this is his first attempt at writing a book, many more books are in the pipeline.

See other products by Venkat Ankam

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