10/02/2014 Professional & Short Term Course
Hadoop is designed to efficiently process large volumes of information by connecting many commodity computers together to work in parallel. The theoretical 1000-CPU machine described earlier would cost a very large amount of money, far more than 1,000 single-CPU or 250 quad-core machines.
Hadoop will tie these smaller and more reasonably priced machines together into a single cost-effective compute cluster.
Hadoop: Hadoop is an open source framework for processing, storing and analyzing massive amounts of distributed unstructured data. Originally created by Doug Cutting at Yahoo!, Hadoop was inspired by MapReduce, a user-defined function developed by Google in early 2000s for indexing the Web. It was designed to handle petabytes and exabytes of data distributed over multiple nodes in parallel.
The advent of the Web, mobile devices and other technologies has caused a fundamental change to the nature of data. Big Data has important, distinct qualities that differentiate it from �traditional� corporate data. No longer centralized, highly structured and easily manageable, now more than ever data is highly distributed, loosely structured (if structured at all), and increasingly large in volume.
Big data Training Chennai for Developers, Architects, Admins with 24x7 Technical Support
To Start ur Career with Hadoop Technology Here bigdatatrainingchennai.in
First Main Road, Adyar , Chennai - 600020
To register for upcoming classes
weekends (Classroom) - 8th March 2014
Fast Track (Classroom) - 10th to 14th March 2014
Online Class - 12th March 2014
Global Hadoop Market worth $13.95 Billion by 2017According to a new market research report, �Hadoop Market [By Hardware (Servers, Storage & Networ...
Hadoop BenefitsHadoop also lets companies store data as it comes in - structured or unstructured - so you don't have to spend money and time configuri...