Apress Cyber Monday SALE

Big Data Made Easy

A Working Guide to the Complete Hadoop Toolset

By Michael Frampton

  • eBook Price: $31.99
  • Print Book Price: $44.99
Buy eBook Buy Print Book
Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset is an introduction for developers and architects anyone else interested in big data to using the Apache Hadoop toolset. It includes a description of all tool capabilities as well as in-depth instructions to build and test a working system.

Full Description

  • Add to Wishlist
  • ISBN13: 978-1-484200-95-7
  • 392 Pages
  • User Level: Beginner to Advanced
  • Publication Date: December 30, 2014
  • Available eBook Formats: EPUB, MOBI, PDF

Related Titles

  • Next Generation Databases
  • Pro Salesforce Analytics Cloud
  • SQL Server T-SQL Recipes
  • Big Data Analytics with Spark
Full Description

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.

What you’ll learn

  • How to install and employ Hadoop

  • How to install and use Hadoop-related tools like Hive, Storm, Pig, Solr, Oozie, Ambari, and many others
  • How to set up and test a big data system
  • How to scale the system for the amount of data at hand and the data you expect to accumulate
  • How those who have spent their careers in the SQL database world can apply their skills to building big data systems

Who this book is for

This book is for developers, architects, IT project managers, database administrators, and others charged with developing or supporting a big data system. It is also for a general IT audience, anyone interested in Hadoop or big data, and those experiencing problems with data size. It’s also for anyone who would like to further their career in this area by adding big data skills.

Table of Contents

Table of Contents

  • The Problem with Data
  • Storing and Configuring Data with Hadoop, Yarn, and ZooKeeper
  • Collecting Data with Nutch and Solr
  • Processing Data Map Reduce
  • Scheduling Using Oozie
  • Moving Data with Sqoop and Avro
  • Monitoring the System with Chukwa, Ambari, and Hue
  • Analyzing and Querying Data with Hive and MongoDB
  • Reporting with Hadoop and Other Software
  • Testing with Big Top
  • Hadoop Present and Future

Source Code/Downloads

Downloads are available to accompany this book.

Your operating system can likely extract zipped downloads automatically, but you may require software such as WinZip for PC, or StuffIt on a Mac.


If you think that you've found an error in this book, please let us know by emailing to editorial@apress.com . You will find any confirmed erratum below, so you can check if your concern has already been addressed.
No errata are currently published


    1. Big Data Made Easy


      View Book

    2. Big Data Imperatives


      View Book

    3. Practical Hadoop Security


      View Book