Bigdata Training in Chennai

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.Hadoop Training India | BigData Developer / Consultant/ Architect / Admin Training Programs with placements!
The Hadoop Distributed File System is a versatile, resilient, clustered approach to managing files in a big data environment. HDFS is not the final destination for files. Rather, it is a data service that offers a unique set of capabilities needed when data volumes and velocity are high. Because the data is written once and then read many times thereafter, rather than the constant read-writes of other file systems, HDFS is an excellent choice for supporting big data analysis. The service includes a “NameNode” and multiple “data nodes” running on a commodity hardware cluster and provides the highest levels of performance when the entire cluster is in the same physical rack in the data center.Big Data Hadoop Architect Weekend Classroom Training
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