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Big Data Hadoop Online Training And Job Support - Certification And Training Adverts - Nairaland

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Big Data Hadoop Online Training And Job Support by ITVidyaTraining: 8:48am On May 24, 2016
Big data Hadoop online training and job support

Visit for more information: http://www.itvidya.co/bigdata-hadoop-online-training/

Contact details:
Email : info@itvidya.co
US : 972-646-8090 India : +91 9966881730

About the course:

ITVidya provides the comprehensive course to address the Hadoop objectives of every Bigdata professional. Be it developers, data analysts, or administrators our Hadoop Online training provides learning from each user’s perception. Our curriculum customized by industry-experts provides the improved nuances of Hadoop and is updated frequently to meet the new advancements in the subject. This training is provided through online medium, can be modified as per the learners schedules and necessities. Have a look at below for more information about training.

Course Objectives:


After completion of the Hadoop Training from ITVidya, you should be able to:

Understand core concepts of big data, Hadoop.
Learn about the core components of Hadoop
Know the general examples of Hadoop use cases
Learn about the large scale log analysis, enterprise data hub, and creating recommendation engines
Designed from a practical and industry perspective
Who should go for this course?

This Hadoop tutorial course is more intended for all aspirants of Bigdata and Hadoop including enterprise architects and business analysts.

What are the pre-requisites for this Course?

There are no prerequisites for this course.

Why Learn Hadoop Training?

Big data is the most buzz word of industry and every business is intense in investing on it. In big data, the most extensively used system is Hadoop. Hadoop is an open source application of big data, which is broadly acknowledged in the industry, and used for big-scale, very parallel, and dispersed data processing. Hadoop’s fault tolerant capability and several level configurability has an enormous influence to the number of times the data is warehoused. This types it one of the most productive BigData technologies.

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