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Data Science For Dummies
Data Science For Dummies

Discover how data science can help you gain in-depth insight into your business – the easy way!

Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles in organizations. Data Science For Dummies is the perfect starting point for IT professionals...

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
  • ...
Seven Concurrency Models in Seven Weeks: When Threads Unravel (The Pragmatic Programmers)
Seven Concurrency Models in Seven Weeks: When Threads Unravel (The Pragmatic Programmers)

Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and...

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 Real World Solutions Cookbook
Hadoop Real World Solutions Cookbook

Ever felt you could use some no-nonsense, practical help when developing applications with Hadoop? Well, you've just found it. This real-world solutions cookbook is packed with handy recipes you can apply to your own everyday issues.

Overview

  • Solutions to common problems when working in the Hadoop...
Pro Apache Hadoop
Pro Apache Hadoop

Pro Apache Hadoop, Second Edition brings you up to speed on Hadoop – the framework of big data. Revised to cover Hadoop 2.0, the book covers the very latest developments such as YARN (aka MapReduce 2.0), new HDFS high-availability features, and increased scalability in the form of HDFS Federations. All the old content has been...

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....

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...
Learning Cloudera Impala
Learning Cloudera Impala

Perform interactive, real-time in-memory analytics on large amounts of data using the massive parallel processing engine Cloudera Impala

Overview

  • Step-by-step guidance to get you started with Impala on your Hadoop cluster
  • Manipulate your data rapidly by writing proper SQL statements
  • ...
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...

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