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Course in Big Data Analytics in association with IBM

Everyday huge amount of data is created. This data comes from everywhere : sensors used to gather climate information, post to social media sites, digital pictures and videos, purchase transaction records and Cell phone GPS signals to name a few. This data is Big Data.

Big data is a blanket term for any collection of data set so large and complex that it becomes difficult to process using on hand data management tools or traditional data processing applications. The challenges include capture, storage, search, sharing, transfer, analysis and visualization. Anyone who has knowledge on Java, basic UNIX and basic SQL can opt for Big Data training course.

Virtual Classes

What is a Virtual Class?

A Virtual Class is an online class that allows participants to communicate, view presentations and interact with trainers. Participants attend virtual class by connecting to the Internet rather than traveling to a physical classroom. Virtual class provides the benefit of flexibility and allows participants to attend classes that may not be offered in smaller cities. It is also beneficial for professionals who are extremely busy and cannot take out times to attend classes.

Virtual classes with iACT

The Virtual Classes will be conducted over the weekends. The virtual class is right in your comfort zone, you can attend this classes from your home or office. This will also provide you an opportunity to interact with the trainers and get your queries solved. Each virtual class will be recorded, in case you have missed any class, you can request for the virtual class link over the mail.

Note: To attend the Virtual Classrooms, you need to have computer & internet connection with the minimum speed of 1 Mbps.

Suggested Duration: 3 months

Mode of Learning:

  1. Learning (Self Paced)
  2. Learning (Trainer Led Training)

System Requirement:

  1. Windows 7 OS
  2. Min 8 GB RAM
  3. Quad core processor

Further Learning Roadmap:

To learnanalytics further and orient your career in that direction, following are the recommended study areas –

  • Business Analytics, Business Intelligence
  • Text/Content Analytics
  • Big Data Programming
  • Predictive Analytics and Data Modelling

'IBM' is trademark of the IBM Corporation in many jurisdictions worldwide, and are used under license only. All other names of the products and companies are their respective trademarks.

Demo Video

Copyright International Business Machines Corporation 2015. This document may not be reproduced in whole or in part without the prior written permissionof IBM

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Table Of Content

  1. Introduction to Big Data
  2. An Introduction to InfoSphereBigInsights
  3. Apache Hadoop and HDFS Overview
  4. GPFS-FPO
  5. BigInsights Web Console Security
  6. Introduction to MapReduce Programming
  7. Adaptive MapReduce
  8. Setup, Configuration and Administration of a Hadoop Cluster
  9. Overview of Oozie
  10. Managing Job Execution
  11. Moving Data into Hadoop
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Payment Option

You can enroll for our courses by paying through the following options:

  • You can pay online using - credit card / debit card / net banking
  • You can deposit cash in HDFC or ICICI branch. Please remember to email us a copy of the deposit slip.
  • You can drop a cheque in either HDFC or ICICI (ATM / bank branch).
  • You can courier the cheque to our office and we will take care of the rest.

Payment needs to be in favour of "IACT GLOBAL EDUCATION PVT. LTD."

Payment can be made for the appropriate amount depending on which option you decide to take.

* Pricing of some of the programs may vary. Please contact us for more details

Course Duration
3 Month
Course Rating

No. of Professionals who have already been certified on Course in Big Data Analytics in association with IBM till today

1000
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shilpa kumari  


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