"Hadoop-Enabled Analytics: The Elephant Enlightens the Blind Men"

Explore how companies are combining analytical tools and activities with the distributed files system for Big Data known as Hadoop.

For any organization operating in a complex data environment, the challenges associated with managing Big Data are substantial, but the opportunities for game-changing insight are lying just under the surface. This report explores how companies are combining analytical tools and activities with the distributed files system for Big Data known as Hadoop, in order to extract more business value from their disparate data environments.

Report Highlights:
71% of Hadoop users are combining visualization capabilities with Hadoop.
42% of Hadoop users cite the need to use unstructured data as their top objective of implementation.
Hadoop users are 2.4 times more likely to use location/geospatial data on a frequent basis.
Download this report and learn how to extract more business value from your disparate data environments today.

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"Hadoop Illuminated" Free 72 Page eBook

 This Hadoop book was written with following goals and principles:

    Make Hadoop accessible to a wider audience -- not just the highly technical crowd.
    There are a few unique chapters that you won't find in other Hadoop books, for example:

•         Hadoop use cases
•         Hadoop distributions rundown
•         BI Tools feature matrix

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Free eGuide "Apache HBase: The NoSQL Database for Hadoop and Big Data"

HBase is the Hadoop database. Think of it as a distributed, scalable Big Data store. Use this reference card to get started with Apache HBase today.

Use HBase when you need random, real-time read/write access to your Big Data. The goal of the HBase project is to host very large tables — billions of rows multiplied by millions of columns — on clusters built with commodity hardware. HBase is an open-source, distributed, versioned, column-oriented store modeled after Google’s Bigtable. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Hadoop and HDFS.

Refcardz are FREE cheat sheets made just for developers. It’s the easy way to stay on top of the newest technologies!

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Free eGuide "Getting Started with Apache Hadoop"

This Refcard presents a basic blueprint for applying MapReduce to solving large-scale, unstructured data processing problems by showing how to deploy and use an Apache Hadoop computational cluster.

This is a complement of Dzone Refcardz #43 and #103, which provides introductions to high performance computational scalability and high-volume data handling techniques, including MapReduce.

Refcardz are FREE cheat sheets made just for developers. It’s the easy way to stay on top of the newest technologies!

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Free eGuide: "How to Use Hadoop as a Piece of the Big Data Puzzle"

"How to Use Hadoop as a Piece of the Big Data Puzzle"

This paper summarizes a webinar in which three SAS experts discuss how Hadoop works and why it's important, how Hadoop can address big data challenges, and how advanced analytics can enhance and streamline Hadoop.

It's easy to become overwhelmed by the growing volume, velocity and variety of big data. While it can be the key to uncovering profitable insights and answering complex questions, many organizations struggle to store, manage and analyze this valuable resource. The missing piece to the big data puzzle could be Hadoop, a computing framework that allows for distributed processing of large data sets across multiple computers using simple programming models.

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Complimentary Book: "Professional Hadoop Solutions"

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"Professional Hadoop Solutions--Free Sample Chapter"

The go-to guidebook for deploying Big Data solutions with Hadoop

Today's enterprise architects need to understand how the Hadoop frameworks and APIs fit together, and how they can be integrated to deliver real-world solutions. This book is a practical, detailed guide to building and implementing those solutions, with code-level instruction in the popular Wrox tradition. It covers storing data with HDFS and Hbase, processing data with MapReduce, and automating data processing with Oozie. Hadoop security, running Hadoop with Amazon Web Services, best practices, and automating Hadoop processes in real time are also covered in depth.

With in-depth code examples in Java and XML and the latest on recent additions to the Hadoop ecosystem, this complete resource also covers the use of APIs, exposing their inner workings and allowing architects and developers to better leverage and customize them.

    The ultimate guide for developers, designers, and architects who need to build and deploy Hadoop applications
    Covers storing and processing data with various technologies, automating data processing, Hadoop security, and delivering real-time solutions
    Includes detailed, real-world examples and code-level guidelines
    Explains when, why, and how to use these tools effectively
    Written by a team of Hadoop experts in the programmer-to-programmer Wrox style

Professional Hadoop Solutions is the reference enterprise architects and developers need to maximize the power of Hadoop.

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Free eGuide: A Non-Geek's Big Data Playbook (Learn about Hadoop and the enterprise data warehouse)

"A Non-Geek's Big Data Playbook"

Learn about Hadoop and the enterprise data warehouse.

This paper examines how a non-geek yet technically savvy business professional can understand how to use Hadoop - and how it will impact enterprise data environments for years to come. The paper serves as a playbook that demonstrates six common “plays” that illustrate how Apache Hadoop can support and extend the Enterprise Data Warehouse (EDW) ecosystem.

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Free Packt's Hadoop e-Book Bundle

"Packt's Hadoop Book Bundle -- A Free 182 Page Sampler"

A collection of Hadoop tips, tricks, and information from Packt Publishing.

This Packt e-book bundle includes materials from 5 informative guides on Hadoop. You’ll enjoy a sample chapter from each title included below:

•     Hadoop MapReduce Cookbook
•     Hadoop Operations and Cluster Management Cookbook
•     Big Data Analytics with R and Hadoop
•     Scaling Big Data with Hadoop and Solr
•     Hadoop Beginner’s Guide

Whether you’re a Hadoop pro, or just getting started, this bundle has advice just for you. Download today and receive your FREE sampler filled with a wealth of information in an easy-to-read format.

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Free Hadoop eBook Collection

Note: To get your free copy
1. Click REQUEST NOW button.
2. Fill out the email ID and other details to get your free copy of the eBook
3. Once you register one book, then no need fill out for other materials (it auto fill). If you face any problem, please leave your view in the comment section.

"Hadoop For Dummies -- Free Sample Chapter" – Let Hadoop For Dummies help harness the power of your data and rein in the information overload Detailed Description

"Professional Hadoop Solutions--Free Sample Chapter" – The go-to guidebook for deploying Big Data solutions with Hadoop

"Apache HBase: The NoSQL Database for Hadoop and Big Data" – HBase is the Hadoop database. Think of it as a distributed, scalable Big Data store. Use this reference card to get started with Apache HBase today.

"Hadoop Illuminated--Free 72 Page eBook" – Gentle Introduction of Hadoop and Big Data

"Getting Started with Apache Hadoop" – This Refcard presents a basic blueprint for applying MapReduce to solving large-scale, unstructured data processing problems by showing how to deploy and use an Apache Hadoop computational cluster.

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72 Page Free eBook: Hadoop Illuminated

"Hadoop Illuminated--Free 72 Page eBook"

Gentle Introduction of Hadoop and Big Data

This Hadoop book was written with following goals and principles:

•     Make Hadoop accessible to a wider audience -- not just the highly technical crowd.
•     There are a few unique chapters that you won't find in other Hadoop books, for example:

•         Hadoop use cases
•         Hadoop distributions rundown
•         BI Tools feature matrix

Offered Free by: Hadoop Illuminated

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