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Big Data!

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Ankit Sheth

on 25 January 2016

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Transcript of Big Data!

Big Data Analytics!
Presenter - Ankit J. Sheth
Applications of Big Data Analytics!
Detect, prevent and remediate financial fraud on real time basis

Data mining from unstructured sources like Twitter/Facebook

Product/Service targetting based on Search behaviour

Machine Learning

Big data is the term for a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications.
Definition!
Example!
Internet and social media have opened the flood gates of data
Business-centric Big Data Platform
CONCLUSION


Big data analytics applies to data sets whose size is beyond the ability of commonly used software tools to capture, manage, and process data in a timely fashion.

“The amount of data in our world has been exploding, and analyzing large data sets, so called big data will become a key basis of competition, underpinning new waves of productivity growth, innovation, and consumer surplus”

Why Big Data Analytics?

Primary goal of big data analytics is :

To help companies make better business decisions:

By enabling data scientists & other users to analyze huge volumes of transaction data.
That may be left untapped by conventional business intelligence programs.

Used as part of advanced analytics disciplines such as predictive analytics and data mining.

Processing of large data sets across clustered systems.

Future Prospects!
The Three Vs!
Work Flow!
Full transcript