Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
CouchDB: The Definitive Guide
CouchDB: The Definitive Guide

Three of CouchDb's creators show you how to use this document-oriented database as a standalone application framework or with high-volume, distributed applications. With its simple model for storing, processing, and accessing data, CouchDb is ideal for web applications that handle huge amounts of loosely structured data. That...

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...

Parallel R
Parallel R

It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together....

Hadoop: The Definitive Guide
Hadoop: The Definitive Guide

Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop...

Doing Data Science: Straight Talk from the Frontline
Doing Data Science: Straight Talk from the Frontline

Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to...

Ruby and MongoDB Web Development Beginner's Guide
Ruby and MongoDB Web Development Beginner's Guide
And then there was light – a lightweight database! How often have we all wanted some database that was "just a data store"? Sure, you can use it in many complex ways but in the end, it's just a plain simple data store. Welcome MongoDB!

And then there was light – a lightweight language that
...
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...

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...

Professional Hadoop Solutions
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...

HBase Administration Cookbook
HBase Administration Cookbook

Master HBase configuration and administration for optimum database performance

  • Move large amounts of data into HBase and learn how to manage it efficiently
  • Set up HBase on the cloud, get it ready for production, and run it smoothly with high performance
  • Maximize the ability of HBase with the...
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark
Data Algorithms: Recipes for Scaling Up with Hadoop and Spark

If you are ready to dive into the MapReduce framework for processing large datasets, this practical book takes you step by step through the algorithms and tools you need to build distributed MapReduce applications with Apache Hadoop or Apache Spark. Each chapter provides a recipe for solving a massive computational problem, such as...

Hadoop: The Definitive Guide
Hadoop: The Definitive Guide
Hadoop got its start in Nutch. A few of us were attempting to build an open source web search engine and having trouble managing computations running on even a handful of computers. Once Google published its GFS and MapReduce papers, the route became clear. They’d devised systems to solve precisely the...
unlimited object storage image
Result Page: 6 5 4 3 2 1 
©2021 LearnIT (support@pdfchm.net) - Privacy Policy