hadoop training architecture Fast Track Training

Hadoop (http://hadoop.apache.org ) was originally built by a Yahoo! engineer named Doug Cutting and is now an open source project managed by the Apache Software Foundation. It is made available under the Apache License v2.0. Along with other projects that we examine in Chapter 10, Hadoop is a fundamental building block in our desire to capture and process big data. Hadoop is designed to parallelize data processing across computing nodes to speed computations and hide latency. At its core, Hadoop has two primary components:
Hadoop Distributed File System: A reliable, high-bandwidth, low-cost, data storage cluster that facilitates the management of related files across machines.Real-time Big Data query and analysis is a missing piece today.” While Hadoop has been successful in addressing the problems of Big Data storage and batch processing, Vertascale’s founders recognized early on that in order to democratize access to Big Data, users needed an intuitive ad-hoc query capability. “Big data is everywhere. Today's problem is less about storing data and more about being able to actually find what you are looking for in the data.
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