how to: big data

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How to: Big Data AMZU INFORMATION TECHNOLOGY LTD

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Page 1: How to: Big Data

How to: Big DataAMZU INFORMATION TECHNOLOGY LTD

Page 2: How to: Big Data

Big Data BI on

Page 3: How to: Big Data

Smart Data

Big Data

+

Smart Technologies

+

Smart Capability

+

Smart People

Page 4: How to: Big Data

OK, Where do I Start?

Page 5: How to: Big Data

You are Already

Doing it.

Page 6: How to: Big Data

How?

Page 7: How to: Big Data

Spreadsheets

Custom BI Dashboards

3rd Party BI Tools

Page 8: How to: Big Data

But Wait..

Page 9: How to: Big Data

Then Why I need Big Data?

Page 10: How to: Big Data

Traditional BI..

Page 11: How to: Big Data

Enterprise Data

Data Warehouse / BI Tools

Step 1 – Bring Data to Computation

Step 2 – Compute

Step 3 – Get Result

Step 4 – Show Pretty Result

Note: This is for illustration purpose and not a debate.

Page 12: How to: Big Data

BI with Big Data..

Page 13: How to: Big Data

Enterprise Data

Big Data

Step 1 – Bring Compute to Data

Step 2 – Get Result

Step 3 – Show Pretty Result

Note: This is for illustration purpose and not a debate.

Page 14: How to: Big Data

Now I don’t see much

Difference..

Page 15: How to: Big Data

Wait. There is More..

Page 16: How to: Big Data

Can Accommodate Large Volume and Exponential Growth

(One man Counting large amount of cash vs. many split the counting task)

Note: This is for illustration purpose and not a debate.

Page 17: How to: Big Data

http://vimeo.com/94011734

(Watch this Video)

Page 18: How to: Big Data

Big Data

Structured Data

Un Structured Data

Enterprise Data

Analysed Data

IoT, Smart Clients, Twitter, Facebook, Search Engine..

&

Bring Compute Close to Data

Note: This is for illustration purpose and not a debate.

Page 19: How to: Big Data

I can do Un Structured in

Traditional BI too..

Page 20: How to: Big Data

Traditional BI

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Un Structured Data

Governance

Cleansing

Transition

Structured Data

Data Warehouse

IoT, Smart Clients, Twitter, Facebook, Search Engine..

&

Note: This is for illustration purpose and not a debate.

Page 22: How to: Big Data

Big Data

Page 23: How to: Big Data

Un Structured Data

Big Data

Data

Governance

IoT, Smart Clients, Twitter, Facebook, Search Engine..

&

Note: This is for illustration purpose and not a debate.

Page 24: How to: Big Data

There are more Advanced Features and

Technologies..(Solution: Technology Governance)

Page 25: How to: Big Data
Page 26: How to: Big Data

If you don’t know what goes into Big Data,

You will never know what and how to get it out.(Solution: Data Governance)

Page 27: How to: Big Data

Traditional BI Big Data BI

Dimensions

Page 28: How to: Big Data

Traditional BI Big Data BI

Variety

Collect Data Ethically, With Big Data comes Big Responsibility.

Page 29: How to: Big Data

Traditional BI Big Data BI

Velocity

Page 30: How to: Big Data

Traditional BI Big Data BI

Volume

Page 31: How to: Big Data

Big Data Benefits

Fast and Smart Decision Making

Additional Dimensions

Dynamic

Expandable

New Insight

New Business Opportunities

Page 32: How to: Big Data

Now Start Telling me How I do it.

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Strategy

Know why Big Data is needed

What differentiator it will bring to an existing BI Capability?

Identify the RoI

Identify Stakeholders and their concerns

Identify Impact on existing Domains and Capabilities

Create Solutions for the concern and impact identified

Standards, Guidelines, Policy and Governance

Roadmap Planning

Page 34: How to: Big Data

Make Big Data The Centre of

All BI Initiatives.

If not, Big Data initiative will be just another team in the corner of an office.

Page 35: How to: Big Data

Execution

Discover How and What to do

Train Internal Resources and Staff

Productise (Replicable, Replaceable, Extendible and Sellable)

Start Small

Prototype, Open source

Use Cloud First

Sell

Show the Value

Target RoI from Suppliers and Customers too.

Deliver

Grow Organically

Transition from traditional BI

Improvise

Page 36: How to: Big Data

Remember Big Data is an Eco

System.(It’s a Jungle Out there)

Page 37: How to: Big Data

Google

1998Now

(One of Many DC)

Page 38: How to: Big Data

Big Data BI on

Page 39: How to: Big Data

And we know you will have more

Questions..

We are here to help.

Enough of Paper, now How do I practically Start?

Do I go Open Source or Purchase COTS?

What will be my Roadmap for Future?

What Infrastructure is Needed for Big Data? How to Create this Capability?

How to understand and mitigate Worst Case Scenarios?

How do I sell this? How to Identify the Audience?

Page 40: How to: Big Data

Thank You

Venkat Balakumar

Amzu Information Technology Ltd

Strategy & Architecture Consultancy

[email protected]

Twitter: https://twitter.com/amzuit

Website: www.amzuit.com

(Checkout our Blog There)

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