Big Data which is very important now a days will help you to understand how data is stored in day to day life.

4.  ‘Big Data’ is similar to ‘small data’, but bigger
 …but having data bigger it requires different
approaches:
 Techniques, tools and architecture
 …with an aim to solve new problems
 …or old problems in a better way

5. BIG DATA CONFUSION

6. BIG DATA SURVEY
Survey conducted by IBM in mid-2013 with 1144
professionals from 95 countries across 26 industry.
Respondents represent a mix of disciplines including
both business professionals and IT professionals.

10. Data Analytics
Services/Aggrega
tors/Tools
Technology
Providers
(Services,
Storage, Data
Warehouses)
Service Providers
(Clubbing best of
tools and
technology with
services)
IBM Google Wipro
SAS Institute SAP TCS
Microsoft Microsoft IBM
Oracle Amazon Infosys
Dell IBM Cognizant
Hitachi Oracle Oracle
Crayon Hewlett Packard Tech Mahindra

11. 9
4
18
22
32
31
36
36
42
40
Lack of suitable software
Lack of in-house skills
Lack of analysis yeilding usable…
Other
Departmental Divisions
Lack of communication between…
Overly complicated reports
Lack of willingness to share data
No by-as from management
Nothing hinders use of Big Data

12. BIG IS STILL SMALL
The adoption of data strategies by businesses in Asia-
Pacific region has been relatively poor
58.1
58
46.3
43.7
74.5
Singapore
India
Hong Kong
China
Australia

14.  Gaining attraction
 Huge market opportunities for IT services (82.9% of
revenues) and analytics firms (17.1 % )
 Current market size is $200 million. By 2015 $1
billion
 The opportunity for Indian service providers lies in
offering services around Big Data implementation
and analytics for global multinationals

15. COMPANIES RECENTLY USING BIG
DATA

16.  The phone in your pocket has more programmable
memory, more storage and more capability than several
large IBM computers.
 It takes dozens of microprocessors running 100 million
lines of code to get a premium car out of the driveway, and
this software is only going to get more complex. In fact,
the cost of software and electronics accounts for 30-40%
of the price.

17.  Big Data and Big Data Analytics – Not Just for Large
Organizations
 It Is Not Just About Building Bigger Databases
 Moving Processing to the Data Source Yields Big Dividends
 Choose the Most Appropriate Big Data Scenario
 Complete data scenario whereby entire data sets can be
properly managed and factored into analytical processing,
complete with in-database or in-memory processing and
grid technologies.
 Targeted data scenarios that use analytics and data
management tools to determine the right data to feed into
analytic models, for situations where using data set isn’t
technically feasible or adds little value.

18.  Big data is not just about helping an organization be more
successful – to market more effectively or improve business
operations.
 High-performance analytics from designed to support big
data initiatives, with in-memory, in-database and grid
computing options.
 Those organizations can benefit from cloud computing,
where big data analytics is delivered as a service and IT
resources can be quickly adjusted to meet changing business
demands.
 On Demand provides customers with the option to push big
data analytics to greatly eliminating the time, capital expense
and maintenance associated with on-premises deployments.

20. Thank you 