1.Introduction
2.Overview
3.Why Big Data
4.Application of Big Data
5.Risks of Big Data
6.Benefits & Impact of Big Data
7.Conclusion
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
3. Introduction
Big Data may well be the Next Big Thing in the IT world.
Big data burst upon the scene in the first decade of the 21st
century.
The first organizations to embrace it were online and startup
firms.
Big data can bring about dramatic cost reductions,
substantial improvements in the time required to perform a
computing task, or new product and service offerings.
4. Overview
‘Big Data’ is similar to ‘small data’, but bigger in size
But having data bigger it requires different approaches:
Techniques, tools and architecture
An aim to solve new problems or old problems in a better
way
Big Data generates value from the storage and processing
of very large quantities of digital information that cannot be
analyzed with traditional computing techniques.
5. Characteristics of Big Data
Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
6. Storing Big Data
Selecting data sources for analysis
Eliminating redundant data
Establishing the role of Data models
Selecting Big Data
Choosing the correct data stores based on your data
characteristics
Processing Big Data
Integrating & Mapping data
Connecting and extracting data from storage
Transforming data for processing
7. The Structure of Big Data
Structured
Most traditional data
sources
Semi-structured
Many sources of big
data
Unstructured
Video data, audio
data
7
8. Why Big Data
Growth of Big Data is needed
Increase of storage capacities & Processing power
Availability of data(different data types)
Every day we create 2.5 quintillion bytes of data; 90% of the
data in the world today has been created in the last two
years alone
9. Why Big Data
FB generates 10TB
daily
Twitter generates 7TB
of data Daily
IBM claims 90% of
today’s stored data
was generated in just
the last two years.
10. Big Data sources
Exploiting known
security vulnerabilities
Systems
Back doors
Large and growing files
(Big data files)
11. Data generation points Examples
Mobile Devices
Readers/Scanners
Science facilities
Microphones
Cameras
Social Media
Programs/Software
12. Big Data Analytics
Examining large amount of data
Appropriate information
Identification of hidden patterns, unknown correlations
Competitive advantage
Better business decisions: strategic and operational
Effective marketing, customer satisfaction, increased
revenue
13. Application Of Big Data analytics
Homeland
Security
Smarter
Healthcare
Multi
channel
Telecom
Manufactur
ing
Traffic
Control
Trading
Analytics
Search
Quality
14. Risks of Big Data
Will be so overwhelmed
Need the right people and solve the right problems
Costs escalate too fast
Isn’t necessary to capture 100%
Many sources of big data is privacy
self-regulation
Legal regulation
14
15. Leading Technology Vendors
Example Vendors
IBM – Netezza
EMC – Greenplum
Oracle – Exadata
Commonality
MPP architectures
Commodity Hardware
RDBMS based
Full SQL compliance
16. How Big data impacts on IT
Big data is a troublesome force presenting opportunities
with challenges to IT organizations.
By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in
US itself
India will require a minimum of 1 lakh data scientists in
the next couple of years in addition to data analysts and
data managers to support the Big Data space.
17. Potential Value of Big Data
$300 billion potential
annual value to US health
care.
$600 billion potential
annual consumer surplus
from using personal location
data.
60% potential in retailers’
operating margins.
18. India – Big Data
Huge market opportunities for IT services (82.9revenues)
and analytics firms (17.1 % )
Current market size is $200 million. By 2015 $1billion
The opportunity for Indian service providers lies in offer
services around Big Data implementation and analytics for
global multinationals
Gaining attraction
19. Benefits of Big Data
Real-time big data isn’t just a process for storing petabytes or
exabytes of data in a data warehouse, It’s about the ability to
make better decisions and take meaningful actions at the
right time.
Fast forward to the present and technologies like Hadoop
give you the scale and flexibility to store data before you
know how you are going to process it.
Technologies such as MapReduce,Hive and Impala enable you
to run queries without changing the data structure
underneath.
20. Benefits of Big Data
Our newest research finds that organizations are using big data
to target customer-centric outcomes, tap into internal data and
build a better information ecosystem.
Big Data is already an important part of the $64 billion
database and data analytics market
It offers commercial opportunities of a comparable scale to
enterprise software in the late 1980s
And the Internet boom of the 1990s, and the social media
explosion of today.
21. Conclusion
$15 billion on software firms only specializing in data
management and analytics.
This industry on its own is worth more than $100 billion and
growing at almost 10% a year which is roughly twice as fast as
the software business as a whole.
In February 2012, the open source analyst firm Wikibon
released the first market forecast for Big Data , listing $5.1B
revenue in 2012 with growth to $53.4B in 2017
The McKinsey Global Institute estimates that data volume is
growing 40% per year, and will grow 44x between 2009 and
2020.