Processing ......
FreeComputerBooks.com
Links to Free Computer, Mathematics, Technical Books all over the World
 
Hadoop Illuminated
Top Free Mathematics Books 🌠 - 100% Free or Open Source!
  • Title Hadoop Illuminated
  • Author(s) Mark Kerzner, Sujee Maniyam
  • Publisher: Internet; eBook (Creative Commons Licensed)
  • License(s): CC BY-NC-SA 3.0
  • Hardcover/Paperback: N/A
  • eBook: HTML and PDF (72 pages)
  • Language: English
  • ISBN-10: N/A
  • ISBN-13: N/A
  • Share This:  

Book Description

This book aims to make Hadoop knowledge accessible to a wider audience, not just to the highly technical.

This book is authors experiment in making Hadoop knowledge available to a wider audience. We want this book to serve as a gentle introduction to Big Data and Hadoop. No deep technical knowledge is needed to go through the book. It can even be a bedtime read :-)

With the almost unfathomable increase in web traffic over recent years, driven by millions of connected users, businesses are gaining access to massive amounts of complex, unstructured data from which to gain insight.

When Hadoop was introduced by Yahoo in 2007, it brought with it a paradigm shift in how this data was stored and analysed. Hadoop allowed small and medium sized companies to store huge amounts of data on cheap commodity servers in racks. The introduction of Big Data has allowed businesses to make decisions based on quantifiable analysis.

Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera, and Dell to name a few. This book introduces you to Hadoop and to concepts such as 'MapReduce', 'Rack Awareness', 'Yarn' and 'HDFS Federation', which will help you get acquainted with the technology.

About the Authors
  • Mark Kerzner is an experienced/hands-on BigData architect. He has been developing software for over 20 years in a variety of technologies (enterprise, web, HPC) and for a variety of verticals (healthcare, O&G, legal, financial).
  • Sujee Maniyam has been developing software for 15 years. In the last few years he has been consulting and teaching Hadoop, NOSQL and Cloud technologies. Sujee stays active in Hadoop / Open Source community.
Reviews, Ratings, and Recommendations: Related Book Categories: Read and Download Links: Similar Books:
  • Hadoop with Python (Zachary Radtka, et al)

    This book takes you through the basic concepts behind Hadoop, MapReduce, Pig, and Spark. Then, through multiple examples and use cases, you'll learn how to work with these technologies by applying various Python tools.

  • Hadoop for Windows Succinctly (Dave Vickers)

    This book provides a thorough guide to using Hadoop directly on Windows operating systems. From a conceptual overview to practical examples, Hadoop for Windows Succinctly is a valuable resource for developers.

  • Hadoop Succinctly (Elton Stoneman)

    This booky explains how Hadoop works, what goes on in the cluster, demonstrates how to move data in and out of Hadoop, and how to query it efficiently. It also walks through a Java MapReduce example, illustrates it in Python and .NET, too.

  • Big Data Analytics with Hadoop 3 (Sridhar Alla)

    This book shows you how to combine Hadoop with a host of other big data tools to build powerful analytics solutions, by providing insights into the software as well as its benefits with the help of practical examples.

  • Understanding Big Data: Analytics for Hadoop and Streaming Data

    In this book, the three defining characteristics of Big Data - volume, variety, and velocity, are discussed. Industry use cases are also included in this practical guide, to deliver a robust, secure, highly available, enterprise-class Big Data platform.

  • Knowledge Graphs and Big Data Processing (Valentina Janev, et al)

    Each chapter in this book addresses some pertinent aspect of the data processing chain, with a specific focus on understanding Enterprise Knowledge Graphs, Semantic Big Data Architectures, and Smart Data Analytics solutions.

  • Big Data in Context: Legal, Social and Technological Insights

    This book sheds new light on a selection of big data scenarios from an interdisciplinary perspective. it provides a comprehensive overview of and introduction to the emerging challenges regarding big data.

  • Modelling and Simulation for Big Data Applications

    Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations.

Book Categories
:
Other Categories
Resources and Links