Why should I take Big Data Basic Certification Course?

This certification course is for the beginners, who are freshers and want to build a career in Big Data. The certification course is in collaboration with Skillsoft (word's leading e-learning provider). The course will provide you depth knowledge on The Big Data Technology Wave and Big Data Opportunities and Challenges.

In this course, you will learn

  • Big Data in Perspective
  • Global Data
  • The Key Contributors
  • The Apache Software Foundation
  • Big Data Stack
  • Hadoop in Detail
  • Big Data Teams
  • Big Data Projects
  • Big Data Use Cases
  • Opportunities and Challenges

How will I benefit from Big Data Basic Certification Course?

The course is designed for freshers and beginners in Big Data, the course is designed in such a manner so that the candidate can grasp the concepts easily. The content is designed by Skillsoft, having video-based content which is very easy to understand.

Companies that hire Big Data Professionals

Vskills Certified candidates in Big Data will find Job opportunities in Companies like IBM India, JP Morgan Chase, Capgemini, Accenture etc.

Table of Contents



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TABLE OF CONTENT

The Big Data Technology Wave

  • Big Data in Perspective
  • Global Data
  • The Key Contributors
  • The Apache Software Foundation
  • Big Data Stack
  • Hadoop in Detail
  • Practice: Big Data elements and functions

Big Data Opportunities and Challenges

  • Big Data Teams
  • Big Data Projects
  • Big Data Use Cases
  • Opportunities and Challenges
  • Practice: Challenges and Opportunities of Big Data

Skillsoft is the world's largest e-learning provide, mainly focuses on B2B.


“Exam scheduling to be done through user account” / “Exam once scheduled cannot be cancelled”
Date of Examination
05-Aug-2017
06-Aug-2017
19-Aug-2017
20-Aug-2017
03-Sep-2017
16-Sep-2017
17-Sep-2017
07-Oct-2017
08-Oct-2017
21-Oct-2017
22-Oct-2017
05-Nov-2017
Examination Time
01:00 PM - 02:00 PM
02:30 PM - 03:30 PM
04:00 PM - 05:00 PM
05:30 PM - 06:30 PM
10:00 AM - 11:00 AM
11:30 AM - 12:30 PM

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