Big Data

Big Data Training ContentKhurram M. PirzadaBig Data & Hadoop Lead @

Allied Consultants

Introduction to Big Data

What is Big Data?

Why, where, and when of Big Data

Differentials

Potentials

Risks

Future

Case Study

What is Big Data?

Highly voluminous, complex, fast and noisy

Conventional techniques very costly

Term encompasses many domains

No single standard framework

Investment constraints real or perception?!

Different models for various functions

How not to fall in trap of buzzwords

Why, Where, When of Big Data

It qualifies 4 components mentioned

Its all around us: twitter, Facebook, cars..

Business need insight for strategic decisions in near real-time

Industrial internet prime example

Differentials

How to identify big data from “other” data?

Can they co-exist?

Who benefits from whom?

Does one technique support other?

Potentials

Manufacturers are early adopters

Integrated eGov is for C2G facilitation

Big data and IoT: match made in heaven ;)

Operational insight that matters

Risks

Nothing is without inherent risk

Inter-”anything” protocol communication

Tracking & managing audit trail

Potential under-estimation vs over-expectations

Unwarranted data solicitation

Complex Event Processing Engines?!?!

Future

Don't we all “love to predict” :)

Big data is like Mark Sinclair (VD) or Jason Bourne (MD)

Already more innovation coming the way

Process automation visualization holds key

Business intelligence shall dominate

Specialist hardware coming soon

Which side of the spectrum are YOU ?!?!

Case Study

Purpose: get inside to business, operational and technical issues

Raise questions and offer alternate & better practical solution