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Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis
Big Data Analytics with Spark: A Practitioner's Guide to Using Spark for Large Scale Data Analysis

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well...

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....

Machine Learning in Action
Machine Learning in Action

After college I went to work for Intel in California and mainland China. Originally my plan was to go back to grad school after two years, but time flies when you are having fun, and two years turned into six. I realized I had to go back at that point, and I didn’t want to do night school or online learning, I wanted to sit on...

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...
Practical Data Analysis
Practical Data Analysis

Transform, model, and visualize your data through hands-on projects, developed in open source tools

Overview

  • Explore how to analyze your data in various innovative ways and turn them into insight
  • Learn to use the D3.js visualization tool for exploratory data analysis
  • ...
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
  • ...
Learning Mongoid
Learning Mongoid

If you know MongoDB and Ruby, then Mongoid is a very handy tool to have at your disposal. Quickly learn to build Rails applications with the helpful code samples and instructions in this book.

Overview

  • A step-by-step guide that explains how to use Mongoid through lots of examples and code
  • ...
Hadoop in Practice
Hadoop in Practice

Summary

Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating...

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...

Big Data Glossary
Big Data Glossary

To help you navigate the large number of new data tools available, this guide describes 60 of the most recent innovations, from NoSQL databases and MapReduce approaches to machine learning and visualization tools. Descriptions are based on first-hand experience with these tools in a production environment.

This handy...

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