Skip to Content
Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
book

Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

by Michael Frampton
December 2014
Beginner to intermediate
392 pages
10h 1m
English
Apress

Overview

Many corporations are finding that the size of their data sets are outgrowing the capability of their systems to store and process them. The data is becoming too big to manage and use with traditional tools. The solution: implementing a big data system.

As Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset shows, Apache Hadoop offers a scalable, fault-tolerant system for storing and processing data in parallel. It has a very rich toolset that allows for storage (Hadoop), configuration (YARN and ZooKeeper), collection (Nutch and Solr), processing (Storm, Pig, and Map Reduce), scheduling (Oozie), moving (Sqoop and Avro), monitoring (Chukwa, Ambari, and Hue), testing (Big Top), and analysis (Hive).

The problem is that the Internet offers IT pros wading into big data many versions of the truth and some outright falsehoods born of ignorance. What is needed is a book just like this one: a wide-ranging but easily understood set of instructions to explain where to get Hadoop tools, what they can do, how to install them, how to configure them, how to integrate them, and how to use them successfully. And you need an expert who has worked in this area for a decade—someone just like author and big data expert Mike Frampton.

Big Data Made Easy approaches the problem of managing massive data sets from a systems perspective, and it explains the roles for each project (like architect and tester, for example) and shows how the Hadoop toolset can be used at each system stage. It explains, in an easily understood manner and through numerous examples, how to use each tool. The book also explains the sliding scale of tools available depending upon data size and when and how to use them. Big Data Made Easy shows developers and architects, as well as testers and project managers, how to:

  • Store big data
  • Configure big data
  • Process big data
  • Schedule processes
  • Move data among SQL and NoSQL systems
  • Monitor data
  • Perform big data analytics
  • Report on big data processes and projects
  • Test big data systems
  • Big Data Made Easy also explains the best part, which is that this toolset is free. Anyone can download it and—with the help of this book—start to use it within a day. With the skills this book will teach you under your belt, you will add value to your company or client immediately, not to mention your career.

    Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
    and much more.

    Read now

    Unlock full access

    More than 5,000 organizations count on O’Reilly

    AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

    QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
    Julian F.
    Head of Cybersecurity
    QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
    Addison B.
    Field Engineer
    QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
    Amir M.
    Data Platform Tech Lead
    QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
    Mark W.
    Embedded Software Engineer

    You might also like

    Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem

    Hadoop 2 Quick-Start Guide: Learn the Essentials of Big Data Computing in the Apache Hadoop 2 Ecosystem

    Douglas Eadline
    Hadoop MapReduce v2 Cookbook - Second Edition

    Hadoop MapReduce v2 Cookbook - Second Edition

    Nanayakkara Kuruppuge T Gunarathne
    Hadoop: Data Processing and Modelling

    Hadoop: Data Processing and Modelling

    Garry Turkington, Tanmay Deshpande, Sandeep Karanth

    Publisher Resources

    ISBN: 9781484200940Purchase book