Big Data Training Chennai -India (6th Jan 2014 )

Apache Hadoop Online Training India (6th Jan 2014 )
Providing effective business analytics tools and technologies to the enterprise is a top priority of CIOs and for good reason. Effective business analytics – from basic reporting to advanced data mining and predictive analytics — allows data analysts and business users alike to extract insights from corporate data that, when translated into action, deliver higher levels of efficiency and profitability to the enterprise.

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Amazon continued and Google kicked off increasingly aggressive moves into the Big Data market. Each introduced new products and services to allow enterprises to leverage Big Data analytics and storage-as-a-service with the usual benefits associated with public Cloud services (elasticity, pay-by-the-drink, trading upfront CAPEX for monthly OPEX, etc.) Specifically, Amazon introduced RedShift, an analytic-database-as-a-service, to its portfolio and struck a deal with MapR to allow customers to run its Hadoop distribution on Amazon Web Service, among other announcements. Amazon also continued to build its Elastic MapReduce business. Google finally got into the Big Data game by productizing Big Data tools and technologies, such as BigQuery, it has long used internally, and likewise introduced MapR as a service via Google Compute Engine.

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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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Big Data Hadoop Architect Weekend Classroom Training
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To register for upcoming classes
weekends(Classroom) - 4th Jan 2014
Fast Track (Classroom) -6th Jan 2014
Online Class- 6th Jan 2014