Things You Should Know about Big Data and Hadoop

You must have shopped online at least once. Just going through the entire process in your mind. You land on the homepage, key in your query, check out the descriptions, images, and rates of the majority of related items listed against your query, and finally place your order if you feel satisfied. You would enter various criteria to arrive at the product that optimally matches your needs and budget. In midst of all these, if something else catches your fancy, you may start exploring the same.

Consider the volume of unstructured data that is generated in your single visit to the site. Also, you may have visited social or ancillary sites to mirror your needs or communicate with portal management if the stocks have been depleted on the site. All data chunks contain insights about your shopping behavior, your peculiar ways of looking for information, and potential avenues through which you vent your emotions.

What is Hadoop?

Hadoop is a software framework for storing and processing Big Data Analytics. It is an open-source tool build on java platform and focuses on improved performance in terms of data processing on clusters of commodity hardware.

Hadoop comprises of multiple concepts and modules like HDFS, Map-Reduce, HBASE, PIG, HIVE, SQOOP and ZOOKEEPER to perform the easy and fast processing of huge data

Hadoop conceptually different from Relational databases and can process the high volume, high velocity and high variety of data to generate value.

Why is it SO HOT?

There are multiple factors driving the demand for Big Data analytics in India. The emergence of converged devices, as well as rapid digitization of data and information, especially in the government sector, is leading to a much larger quantum of data being generated. There is also immense demand from analytics players who want to get meaningful insights from their huge volumes of data which is leading to an increased number of professionals inculcating skills required in their profession.

Who can pursue Hadoop Course?

Hadoop comprises of multiple concepts and modules like HDFS, Map-Reduce, HBase, PIG, HIVE, SQOOP and ZOOKEEPER. These Hadoop tools are used to process the high volume, high velocity and high variety of data to generate value. To pursue this you need to have hands-on experience in Core Java and good analytical skills.

Eligibility?

Managers, who are looking for the latest technologies to be implemented in their organization, to meet the current & upcoming challenges of data management

Any Graduate/Post-Graduate, who is aspiring to have a great career in the cutting-edge technologies in IT

Software Engineers, who are into ETL/Programming and exploring for great job opportunities in Hadoop.

Prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Big Data Analytics and Hadoop. We provide a complimentary Course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training. This course helps you brush up your Java Skills needed to write Map Reduce programs.

Why EduPristine:

EduPristine Big Data Hadoop classroom training program is specially designed to master the latest and core components of Hadoop like Map-reduce, HBase, PIG, HIVE, SQOOP, Oozie with Hue and the plus complimentary session on Java Essentials for Hadoop, Python and Unix sessions.

Tools that you will learn at EduPristine: Hadoop

HDFS, Map-Reduce, HBase, Pig, Hive, Sqoop, Zookeeper

At EduPristine, our counselors can you to make a career in Big Data and Hadoop. They have counseled different professionals and students as well. If you wish to get into a one-on-one discussion with one of our counselors regarding a career in Hadoop, register here

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