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Hadoop Real World Solutions Cookbook - Second Edition
Hadoop Real World Solutions Cookbook - Second Edition

Key Features

  • Implement outstanding Machine Learning use cases on your own analytics models and processes.
  • Solutions to common problems when working with the Hadoop ecosystem.
  • Step-by-step implementation of end-to-end big data use cases.

Who This Book Is For

...

Data Just Right: Introduction to Large-Scale Data & Analytics (Addison-Wesley Data & Analytics Series)
Data Just Right: Introduction to Large-Scale Data & Analytics (Addison-Wesley Data & Analytics Series)

Making Big Data Work: Real-World Use Cases and Examples, Practical Code, Detailed Solutions

 

Large-scale data analysis is now vitally important to virtually every business. Mobile and social technologies are generating massive datasets;...

Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies
Field Guide to Hadoop: An Introduction to Hadoop, Its Ecosystem, and Aligned Technologies

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections....

Mastering Hadoop
Mastering Hadoop

Go beyond the basics and master the next generation of Hadoop data processing platforms

About This Book

  • Learn how to optimize Hadoop MapReduce, Pig and Hive
  • Dive into YARN and learn how it can integrate Storm with Hadoop
  • Understand how Hadoop can be deployed on the cloud...
Beginning Apache Pig: Big Data Processing Made Easy
Beginning Apache Pig: Big Data Processing Made Easy
Learn to use Apache Pig to develop lightweight big data applications easily and quickly. This book shows you many optimization techniques and covers every context where Pig is used in big data analytics. Beginning Apache Pig shows you how Pig is easy to learn and requires relatively little time to develop big data...
Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset
Big Data Made Easy: A Working Guide to the Complete Hadoop Toolset

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...

HDInsight Essentials
HDInsight Essentials

Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows

Overview

  • Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
  • Build a multi-node Hadoop cluster on Windows servers
  • ...
Hadoop MapReduce v2 Cookbook Second Edition
Hadoop MapReduce v2 Cookbook Second Edition

Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets

About This Book

  • Process large and complex datasets using next generation Hadoop
  • Install, configure, and administer MapReduce programs and learn what's new in MapReduce v2
  • More than 90...
Hadoop: The Definitive Guide
Hadoop: The Definitive Guide

Discover how Apache Hadoop can unleash the power of your data. This comprehensive resource shows you how to build and maintain reliable, scalable, distributed systems with the Hadoop framework -- an open source implementation of MapReduce, the algorithm on which Google built its empire. Programmers will find details for analyzing...

Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in either Java, Scala, or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, including Hive, Pig, HBase, Storm,...
Programming Elastic MapReduce: Using AWS Services to Build an End-to-End Application
Programming Elastic MapReduce: Using AWS Services to Build an End-to-End Application

Although you don’t need a large computing infrastructure to process massive amounts of data with Apache Hadoop, it can still be difficult to get started. This practical guide shows you how to quickly launch data analysis projects in the cloud by using Amazon Elastic MapReduce (EMR), the hosted Hadoop framework in Amazon Web...

Apache Sqoop Cookbook
Apache Sqoop Cookbook
It’s been four years since, via a post to the Apache JIRA, the first version of Sqoop was released to the world as an addition to Hadoop. Since then, the project has taken several turns, most recently landing as a top-level Apache project. I’ve been amazed at how many people use this small tool for a...
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