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 Hadoop For Dummies
Let Hadoop For Dummies help harness the power of your data and rein in the information overload
Big data has become big business, and companies and organizations of all sizes are struggling to find ways to retrieve valuable information from their massive data sets with becoming overwhelmed. Enter Hadoop and this... | | Professional Hadoop Solutions
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... | | HDInsight Essentials
Tap your unstructured Big Data and empower your business using the Hadoop distribution from Windows
Overview
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Architect a Hadoop solution with a modular design for data collection, distributed processing, analysis, and reporting
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Build a multi-node Hadoop cluster on Windows servers
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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... | | 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
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A step-by-step guide that explains how to use Mongoid through lots of examples and code
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| | Pentaho for Big Data Analytics
With your knowledge of Java and this guide, you can take the analysis of your big data to new levels using Pentaho. Covers all the essentials tools, techniques, tips, and tricks in one handy volume.
Overview
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A guide to using Pentaho Business Analytics for big data analysis
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Learn...
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Data Science from Scratch: First Principles with Python
Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from... | | Hadoop in Practice
Summary
Hadoop in Practice collects 85 Hadoop examples and presents them in a problem/solution format. Each technique addresses a specific task you'll face, like querying big data using Pig or writing a log file loader. You'll explore each problem step by step, learning both how to build and deploy... | | Hadoop: The Definitive GuideHadoop: The Definitive Guide helps you harness the power of your data. Ideal for processing large datasets, the Apache Hadoop framework is an open source implementation of the MapReduce algorithm on which Google built its empire. This comprehensive resource demonstrates how to use Hadoop to build reliable, scalable, distributed systems: programmers... |
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