Big Data Training - Global Training Provider

Hadoop installation can help businesses build analytics solutions from the ground up. The key here isn't shortcuts ? it's scalability.

Businesses can choose to phase in foundational Hadoop components, like MapReduce, at first, before graduating to additional pieces of Hadoop architecture.

This way, data management is conducted on a granular level, so that data clusters aren't scattered in an unstructured environment.

Hadoop HDFS provides a comprehensive solution for managing existing data and easily adding new pieces of information.

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.

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The Hadoop/NoSQL software and services market reached $542 million in 2012 as measured by vendor revenue. This includes revenue by Hadoop and NoSQL pure-play vendors � companies such as Cloudera and MongoDB � as well as Hadoop and NoSQL revenue from larger vendors such as IBM, EMC (now Pivotal) and Amazon Web Services. Weforecast this market to grow to $3.48 billion in 2017, a 45% CAGR during this five year period.

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