Big Data Life Cycle | Big Data Analytics Tutorial | Lecture 3

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This video is all about Big Data Life Cycle in which we have seen the different stages in the Big Data Analytics Data Life Cycle with some real world examples.

Big Data analytics cycle includes following stages:
Business Case Evaluation
Research
Data Acquisition
Data Extraction & Cleansing
Data Storage
Data Analysis
Modelling and Assessment
Implementation

In the previous lecture we have seen CRISP-DM, SEMMA Methodology for Data Mining which are the Traditional Data Mining Life Cycles that describes commonly used techniques that data mining experts use to solve problems in traditional BI data mining where we have discussed the different stages in both CRISP-DM, SEMMA Methodologies along with their brief history and main difference between them.

Also check out similar informative videos in the field of cloud computing:

Audience

This whole series has been prepared for it professionals aspiring to learn the basics of Big Data Analytics. Professionals as well as students who are into analytics in general may as well use this tutorial to gain good knowledge.

Prerequisites

Before you start proceeding with this tutorial, I am assuming that you have some kind of exposure to handling huge volumes of unprocessed data at an organizational level.

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Jaise kitaab padh rahe ho vaisa padha diya, koi real world example leke padha dete bhai, kuch bhi palle nhi padh raha . " Think School " dekho for reference, he explains such complex topics easily by breaking down real world problems as an example . These things you are explaining are used in real life scenarios, in companies . Then explain it with examples bro. I know its an abstract introduction to all these concepts and anybody can listen and understand what you are saying but no one will remember or retain it after 5 minutes . for things to retain it should be explained with use of examples .

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