big data ppt

1. Presented
By
kalyanireddy

2. What is BIG DATA?
‘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 problemsor old
problems in a better way

3. 4 V‘s of Big Data
Volume
• Data
quantity
Velocity
• Data
Speed
Variety
• Data
Types
Veracity
• Messiness

4. STRUCTURE OF BIGDATA
 Structured
 Semi structured
 Unstructured
 Structured : The structured mostly
includes the traditional sources of
information.
 Semi structured : the semi structure
includes many sources of Bigdata.
 Unstrutured : The unstructured includes
information like video data and audio
data.

5. Why Big Data
 Key enablers of appearance and growth
of Big Data are
– Increase of storage capacities
– Increase of processing power
– Availability of data
– 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

6. 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

7. Applications for Big Data Analytics
Homeland Security
FinanceSmarter Healthcare
Multi-channel
sales
Telecom
Manufacturing
Traffic Control
Trading Analytics Fraud and Risk
Log Analysis
Search Quality
Retail: Churn, NBO

8. Healthcare
 80% of medical data is unstructured and is
clinically relevant
 Data resides in multiple places like individual
EMRs, lab and imaging systems, physician
notes, medical correspondence, claims etc
 Leveraging Big Data
 Build sustainable healthcare systems
 Collaborate to improve care and outcomes
 Increase access to healthcare

9. Market Size
By 2015 4.4 million IT jobs in Big Data ; 1.9 million is in US itself

10. India – Big Data
 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

11. Potential Talent Pool -Big
Data
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.

12. ADVANTAGES
 The bigdata is already a vital part of
the $64 billion databases and data
analytics market.
 It furnishes commercial oppurtunities
of comparable

13. APPLICATIONS
 Government
 Industrial development
 Manufacturing
 Cyber-physical models
 Media
 Technology
 Private sector
 Science and research

14. Future of Big Data
• $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.

15. Big Data Analytics
Technologies
Nasal : non-relational or at least non-SQL
database solutions such as HBase (also a part of
the Hadoop ecosystem), Cassandra, MongoDB, Riak,
CouchDB, and many others.
Hadoop: It is an ecosystem of software packages,
including MapReduce, HDFS, and a whole host of
other software packages