Big Data Life Cycle | Big Data Analytics Tutorial | Lecture 3
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Big Data Life Cycle | Big Data Analytics Tutorial | Lecture 3
9 521 просмотр · 4 года назад
AmpCode
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9 521 просмотр · 4 года назад
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.
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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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