This document provides an overview of big data, including how big data is defined in terms of volume, velocity, and variety of data. It discusses how data is being collected from various sources like the web, smartphones, medical systems, and retail stores. This data is collected by companies and organizations to enable targeted marketing, personalized services, and improved decision making. The document also outlines some of the challenges of big data like storage and protection of large datasets, as well as opportunities it provides to gain insights and make better predictions. It introduces technologies like Hadoop that are designed to analyze large, diverse datasets and extract value from them.

1. Big Data – Are You
Ready?

2. “Keeping Afloat
in a Sea of 'Big
Data”
ITBusinessEdge – 9/6/11
“Why big data
is a big deal”
InfoWorld – 9/1/11
“The challenge–
and opportunity–
of big data”
McKinsey Quarterly—5/11
“Getting a Handle
on Big Data with
Hadoop”
Businessweek-9/7/11
“Ten reasons why
Big Data will
change the travel
industry”
Tnooz -8/15/11
“The promise of
Big Data”
Intelligent Utility-8/28/11
Big Data Buzz

3. Big Data Buzz
Courtesy: Asigra

4. Big Data Buzz
Courtesy: Asigra

5. Have you faced any of these?
• Your IT guy says that adding new fields to the table will require
more than a month of testing as it requires changes in data
models.
• You have to procure new hardware with a more powerful CPU and
hundreds of gigabytes of memory to process your data in time.
• Frequent write operations lock data records and block reading
operations.
Big Data Buzz

6. Agenda
• Big Data Overview
• How Big is Big Data?
• What Makes it Big Data?
• Where Do we see Big Data?
• What / Who / Why collects all this Data?
• Big Data In Action
• Challenges
• Opportunities
• Big Data Technologies

7. What is Big Data?
Big Data refers to datasets
that grow so large that it is
difficult to capture, store,
manage, share, analyze and
visualize with the typical
database software tools.

8. How big is Big Data?
• It is not a single number but a set of parameters.
• Any data that can challenge our current technology in
some manner can be considered as Big Data
– Volume
– Communication
– Speed of Generating
– Meaningful Analysis

9. What Makes it Big Data?
VOLUME
(Large amount of
Data)
VELOCITY
(Needs to be
analyzed
Quickly)
VARIETY
(Different types
of
Structured
& Unstructured
Data)
VALUE

10. Big Data is Everywhere!
Lots of data is being
collected and warehoused
• Web data, E-commerce
• Purchases at departmental
and grocery stores
• Bank or Credit Card
transactions
• Social Network Interactions

11. Web Browsers Search Engines
Internet Explorer
Firefox
Chrome
Safari
AOL Explorer
What is collecting all this Data?

12. Smartphones & Apps
Apple’s iPhone
(Apple O/S)
Samsung, HTC.
Nokia, Motorola
(Android O/S)
RIM Corp’s
Blackberry
(BlackBerry O/S)
Tablet Computers & Apps
IPad
Galaxy
Kindle Fire
What is collecting all this Data?

13. Games Boxes and GPS Systems Internet Service Providers
What is collecting all this Data?

14. Hospitals & Other Medical Systems Banking & Phone Systems
Can you hear me now?
(Heh heh heh!)
What is collecting all this Data?

15. A real pain in the apps! What are they collecting?
• Restaurant reservations
(Open Table)
• Weather in L.A. in 3 days
(Weather+)
• Side effects of medications
(MedWatcher)
• 3-star hotels in New Orleans
(Priceline)
• Which PC should one buy and
where? (PriceCheck)
What is collecting all this Data?

16. Consumer Products Companies Big Box Stores
Who is collecting all this Data?

17. What data are they getting?Credit Card Companies
Who is collecting all this Data?

18. Why are they collecting all the data?
Target Marketing
• To suggest medications that
precisely match your medical
history.
• To “push” television channels
to your set instead of your
“pulling” them in.
• To send advertisements on
those channels just for you!
Targeted Information
• To know your needs even
before you know, based on
past purchasing habits!
• To notify you of your expiring
driver’s license or credit cards
or last refill on a Rx, etc.
• To give you turn-by-turn
directions to a shelter in case
of emergency.

19. Acquire all
available data
ANALYZE
DECIDE
ORGANIZE
ACQUIRE
Big Data in Action

20. Organize and distill
big data using
massive
parallelism
ANALYZE
DECIDE ACQUIRE
ORGANIZE
Big Data in Action

21. Analyze all your
data, at once
ANALYZE
DECIDE ACQUIRE
ORGANIZEANALYZE
Big Data in Action

22. Decide based on
real-time big data
ANALYZE
ACQUIRE
ORGANIZE
DECIDE
Big Data in Action

23. Make
better
decisions
using
big data
ANALYZE
DECIDE ACQUIRE
ORGANIZE
Big Data in Action

24. Challenges
• Storage and Protection
• Backup and Restoration
• Organization and Categorization of the data
• Cost Control and Availability of critical data at all times
• Acquisition of right data from right sources & its delivery to the
Right People in Real-time
• Comprehension and Usage of Big data in unstructured formats such
as text or video

25. Big Data Opportunities
• Improve productivity and gain competitive advantage by
identifying trends
• Growing at almost 10% a year, Big Data industry is worth more than
$100 billion. This is roughly twice as fast as the software business.
The Million Dollar Question is :
How will you take advantage of this opportunity?

26. Big Data Technologies
26
Big Data technologies
describe a new generation
of technologies and
architectures, designed to
economically extract value
from very large volumes of
a wide variety of data, by
enabling high velocity
capture, discovery and/or
analysis.

27. Thank You!