This document provides an overview of big data including: - Types of data like structured and unstructured data - Characteristics of big data and how it has evolved with more unstructured data sources - Sectors that benefit from big data including government, banking, telecommunications, marketing, and health and life sciences - Advantages such as understanding customers, optimizing business processes, and improving research, healthcare, and security - Challenges including privacy, data access, analytical challenges, and human resource needs - The conclusion states big data generates productivity and opportunities but challenges must be addressed through talent and analytics

1. PADMANAVA COLLEGE OF ENGINEERING

2. BIG DATAPresented By: Name-ANJALI NISHET
Reg.No-1101216157
6th semester
Name-HEENA HASSAN
Reg.No-1101216159
6th semester
The Next Frontier for
innovation

3. OUTLINES…..
• INTRODUCTION
• TYPES OF DATA
• CHARACTERISTICS
• SECTORS BENIFITED
• ADVANTAGES
• DISADVANTAGES
• CHALLENGES OF BIG DATA
• CONCLUSION
• REFRENCES

4. INTRODUCTION
*Big data is a collection of data sets which is so large
and complex that it is difficult to handle using DBMS
tools.
*The rate of data generation has increased
exponentially by increasing use of data intensive
technologies.
*Processing or analyzing the huge amount of data is a
challenging task.
* Big Data is large volume of Data in structured or
unstructured form.

5. TYPES OF DATA
1. STRUCTURED DATA- These data is organized in a
highly mechanized and manageable way. eg Data of
organisation which fits into databases.
2.UNSTRUCTURED DATA-
These data is raw and
unorganized. It varies in its content and can change from
entry to entry. eg Videos, images, social media etc.

6. Data Evolution …..
10% are structured and 90% are unstructured like emails, videos,
facebook posts, website clicks etc.
BIG
Data
Structured and
Unstructured Data
Web Logs
WEB
Sensor/ RFID/ Devices
Sentiment, UGC, Speech
to Text, SMS/MMS, Mobile
Web, HD Audio/Video
Offer History
A/B Testing
Dynamic Pricing
Segmentation
CRM
Offer Details
Support Contacts
Structured Data
Purchase Detail
ERP
Purchase Record
Payment Record
Source: Hortonworks.com

7. CHARACTERISTICS OF BIG DATA

8. BIG DATA IN VARIOUS SECTORS
1. BIG DATA IN GOVERNMENT
* Indian Railways
* Govt. Project
* Welfare Dept.
2. BIG DATA IN BANKING
* Risk modelling.
* Prevents financial frauds & money laundering
3. BIG DATA IN TELECOMMUNICATION
* Call Detail Record (CDR) analysis.
* Network performance and optimization.
* Mobile User Location analysis.

9. BIG DATA IN VARIOUS SECTORS
4. BIG DATA IN MARKETING
* Re-development of products
* Maintaining CRM
* Creation of new ideas
5. BIG DATA IN HEALTH & LIFE SCIENCES
* Health Insurance fraud detection.
* Patient care quality and program analysis
* Drug discovery and development analysis

10. ADVANTAGES OF BIG DATA
* Understanding and Targeting Customers
* Understanding and Optimizing Business Process
* Improving Science and Research
* Improving Healthcare and Public Health
* Financial Trading
* Improving
Sports Performance
* Improving Security and Law Enforcement

11. DISADVANTAGES OF BIG DATA
•
Big data violates the privacy principle.
•
Data can be used for manipulating customers.
•
Big data may increase social stratification.
•
Big data is not useful in short run.
•
Faces difficulties in parsing and interpreting.
•
Big data is difficult to handle.

12. CHALLENGES IN BIG DATA
*Privacy and Security
*Data Access and Sharing of Information
*Analytical Challenges
*Human Resources and Manpower
*Technical Challenges
12

13. *CONCLUSION
*The
commercial impacts of the Big data have
the potential to generate significant
productivity growth for a number of vertical
sectors.
*Big Data presents opportunity to create
unprecedented business advantages and better
service delivery.
*All the challenges and issues are needed to be
handle effectively and in a efficient manner.
* Growing talent and building teams to make
analytic-based decisions is the key to realize the
value of Big Data.

14. *REFRENCES…..
 www.google.com
 www.wikipedia.com
 http://research.microsoft.com
 http://www.howstuffworks.com

15. FOR LISTENING US…….

16. ANY
QUERIES..??????