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Data Analytics with Hadoop

If you’re a data scientist ready to tackle statistical and machine learning techniques across large data sets, this practical guide provides a solid introduction to the world of clustered computing and analytics with Hadoop. Instead of deployment, operations, or software development, this book focuses on particular analyses you can build, the data warehousing techniques that Hadoop provides, and the higher order data workflows it can produce.You’ll learn a wide range of topics, from the basi

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Hadoop MapReduce v2 Cookbook Second Edition

Explore the Hadoop MapReduce v2 ecosystem to gain insights from very large datasets About This BookProcess large and complex datasets using next generation HadoopInstall, configure, and administer MapReduce programs and learn what’s new in MapReduce v2More than 90 Hadoop MapReduce recipes presented in a simple and straightforward manner, with step-by-step instructions and real-world examplesWho This Book Is ForIf you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, the

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– Apache Hadoop: ne vous laissez pas impressionner par une avalanche de données
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Hadoop Interview Guide

This book is designed to provide in-depth knowledge of Hadoop components. It will equip you to apply for a job as a Hadoop Developer right from beginner to mid-level positions. The concepts are written in easy to grasp manner with program examples, which will be apt for anyone who want to solidify their understanding. It is packed with over 400 interview questions with answers. This book is also a good starting point for anyone who wants to venture into the Hadoop field from other IT fields. The

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Morrison, CO (PRWEB) March 31, 2015

Bit Refinery, a provider of VMware and Hadoop infrastructure as a service, today announced the company is partnering with Hortonworks (HDP) to provide a new hosted sandbox. The HDP Sandbox is a personal Hadoop environment that includes numerous interactive tutorials. It allows the user to get a feel of this exciting new technology as well as build proof of concepts and test new functionality in a fully operational environment.

The Bit Refinery hosted Sandbox will provide a hosted version of this popular learning tool which allows access from any Internet browser. Coupled with the growing list of interactive tutorials from HDP and other partnering vendors, the Sandbox has become the premier learning tool for anyone that wants quickly get up to speed on Hadoop.

“Our partnership with Hortonworks gives us the chance to provide a secure environment for businesses to experience the flexibility of trying the Hortonworks Sandbox without the time and resources required when running it on their personal computers.” said Bit Refinery Managing Partner Brandon Hieb, in a statement. “Businesses today understand the potential solution Big Data can provide, but are challenged with evaluating and implementing them effectively.”

The HDP Sandbox is just the first project Bit Refinery is planning to offer on its nationwide VMware and Hadoop hosting infrastructure. Development is already underway to offer numerous other software technologies such as Elasticsearch, Apache Ignite and Apache Spark to potential customers allowing them to experience Big Data technologies in a real working environment. The new hosted sandbox offering will be made available on March 30, 2015 via their website http://www.bitrefinery.com.

About Bit Refinery

Bit Refinery is a VMware® and bare-metal Hadoop Infrastructure-as-a-Service (IaaS) provider based out in Denver, Colorado. Featuring VMware® virtualization technology and bare-metal server nodes hosted within its fully redundant infrastructure, companies of all sizes benefit from outsourcing their infrastructure to the Bit Refinery Cloud while maintaining complete control of their mission critical environment. For more information please visit http://www.bitrefinery.com.

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VMware© and VMware vCloud© are registered trademarks and/or trademarks of VMware, Inc in the United States and/or other jurisdictions. The use of the word “partner” or “partnership” does not imply a legal partnership between VMware and any other company.

Media Contact:

Shannon Faulkner

Bit Refinery, Inc

855-874-9700

marketing(at)bitrefinery(dot)com

Hadoop is nothing but a source of software framework that is generally used in the processing immense and bulk data simultaneously across many servers. In the recent years, it has turned out to be one of most viable option for enterprises, which has the never-ending requirement to save and manage all the data. Web based businesses such as Facebook, Amazon, eBay, and Yahoo have used high-end Hadoop applications to manage their large data sets. It is believed that Hadoop is still relevant to both small organizations as well as big time businesses.

Hadoop is able to process a huge chunk of data in a lesser time which enabled the companies to analyze that this was not possible before within that stipulated time. Another important advantage of the Hadoop applications is the cost effectiveness, which cannot be availed in any other technologies. One can avoid the high cost involved in the software licenses and the fees that has to be upgraded periodically when using anything apart from Hadoop. It is highly recommended for businesses, which have to work with huge amount of data, to go for Hadoop applications as it helps in fixing any issues.

Actually, Hadoop applications are made up of two parts; one is the HDFS, which means the Hadoop Distributed File System while the other is the Hadoop mapreduce that helps in the processing of data and scheduling of job depending upon the priority, which is a technique that initially originated in Google search engine. Along with these two primary components, there are nine other parts, which are decided as per the distribution one uses along with other complementary tools. There are three most common functions of Hadoop applications. The first function is the storage and analysis of all the data, which does not require the loading of the relational database management system. Secondly, it is used in the conversion of huge repository of semi-structured and unstructured data, for example a log file in the form of a structured data. Such complicated data are hard to understand in SQL tools like analyzing the graph and data mining.

Hadoop applications are mostly used in the web-related businesses wherein one has to work with big log files and data from the social network sites. When it comes to media or the advertising world, enterprises use Hadoop, which enables the best performance of ad offer analysis and help understand online reviews. Before using any Hadoop tool, it is advisable to read through the Hadoop map tutorials available online.

Hadoop: Questions and Answers

If you have a question about Hadoop this is the book with the answers. Hadoop: Questions and Answers takes some of the best questions and answers asked on the stackoverflow website.

You can use this book to lookup commonly asked questions, browse questions on a particular topic, compare answers to common topics, check out the original source and much more. This eBook has been designed to be very easy to use, with many internal links set up that makes browsing in many different ways possibl

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Alex Gorbachev, Oracle ACE Director, Cloudera Champion of Big Data, and Chief Technology Officer at Pythian, has recorded a series comparing the various big data platforms and use cases to…
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