Upcoming Event

BigData & Hadoop


Price : ₹ 21000 ₹ 18000


Duration : 30

Course Details:

 Big Data with Hadoop

Big Data is the technology that involves the management and analysis of really large chunks of data, impossible to be processed by traditional computers. Data from Social Media, Stock Exchange, Power Grids, Search Engines etc. are some examples of Big Data.

 Hadoop is an open-source fault-tolerant framework that allows one to store and process data. In this course, we will learn how to work with big data using one of the most popular frameworks, Hadoop! The course will also cover Hadoop ecosystems models such as  MapReduce, Hive, Pig, etc.

What are the benefits of using Hadoop?

Hadoop’s design principles based on performance efficiency and developer-friendliness are of great value for anybody working in the Data Science domain. Here are some of its benefits:

  • Scalability – Being a highly scalable platform, thousands of Terabytes of data could be effortlessly managed and processed in parallel using Hadoop.
  • Self-healing feature – Hadoop is designed to automatically route failure in a transparent fashion. Hence, it’s called a fault-tolerant system.
  • Cost-effectiveness – Who doesn’t want to save money? The cost-effective storage and management solutions offered by Hadoop are unmatched.

Fast and Flexible – Data extraction, processing, data warehousing, data analysis and more could be performed quickly

Why should you learn Hadoop and Big Data?

  • Big data and analytics have been proven to have made a considerable impact on the strategies and revenues of most businesses that employ it.
  • There is an increasing need for IT professionals with Hadoop and Big Data skills.
  • Hadoop offers an accelerated career growth, thanks to its wide adoption across different sectors such as social media, advertising, marketing, research, analysis, governance, etc.
  • IT Professionals with Hadoop skills are offered excellent salary packages.

Eligibility

  • Engineering and MCA Graduates
  • Candidates should have minimum 60% marks throughout their academic session (10th/12th/Graduation)

Recent Placements



Placement patners


  • * Capgemini

  • * IBM

  • * Maxima IT

  • * Thirdware Technologies

  • * Barclays

  • And More ...

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