In today’s world of the computer, human life is very much dependent on technology. Our personal, professional, social life is fully dependent on data. At every second of our life, we are dealing with data. In earlier days only people produces data and try to store it manually, but as the machines are becoming smarter they also producing the data. By 2016 it is estimated that 22.9 billion devices are actually connected to the internet. So, without any manual interrupt, these devices are producing data. This data is originated through mobile phones, laptops, cameras and many other electronic gadgets. Due to the huge amount of data the challenge of data management arises. Big Data is a very familiar term. But it not just a large amount of data, it is a concept which actually explains about gathering the data, organizing, analyzing and getting the information out of the data. So big data is a huge amount of data having the ability to store and process the data and collecting the relevant amount of data. This helps us to find out hidden facts and information from the data collection. This presentation focuses on the concept of big data, source of generation, need of big data management, various characteristics such as volume, variety and velocity, big data lifecycle, available sectors or fields, Big data in healthcare, Big data’s application in healthcare such as electronic health record, telemedicine, and very popular fitness band with one example in detail.

1. Big Data for Better Life
Presented by:- Shrutika Suresh Oswal

2. What is Big Data ?????
• Lots of data (Terabyte or Petabyte)
• Difficult to process using traditional data processing application.
• The challenges include capture , storage , search , sharing , transfer ,
analysis and visualization .
• Big data is the solution for new problems or old problems in better way
• It provide the ability to store , process , access all data it needs to
operate effectively , make decisions , reduce risks and serve customers.

3. Every 60 seconds …….
98,000 +
tweets
168 million+
emails
695,000 status updates
698,445 Google searches
11 million instant messages

4. Characteristics of Big Data
Volume
• Data at rest
• Terabytes to exabytes of existing data to process
Velocity
• Data in Motion
• Streaming data , milliseconds to seconds to respond
Variety
• Data in Many Forms
• Structured , unstructured , text ,multimedia

5. Where big data is used??
Healthcare Banking Stock Market Education
Manufacturing Traffic Control Insurance Industry

6. Big Data in Healthcare
• Has a large potential to contribute in the Healthcare industry.
• Has the potential to reduce costs of treatments , can predict outbreaks
of epidemics , avoid preventable diseases and can improve the quality
of life.
• Applications:-Electronic Health Records , Real-time Alerting ,
Telemedicine , etc..

7. Application :- Electronic Health
Record
Digital Version of patient’s paper
chart of health record
Every record is comprised of one
modifiable files
Real-time , patient- centred records that
make information available instantly and
securely to the authorized users.
Every patient has his own digital
record which includes demographics ,
laboratory test results etc..

8. Application:- Telemedicine
Delivery of remote clinical services using technology.
Telesurgery-Doctors can perform operations with the use of robots and
high-speed real-time data delivery without physically being in the same
location with a patient.
It can provide personalized treatment plans and prevent hospitalization
or re-admission.
Helps to reduce costs of healthcare and improve the quality of service.

9. Big Data in Real Life
Depending on the tracker , it can
track steps , calories , distance
travelled , calories intake , heat
rate , sleep time, sugar level ,etc
..
Fitness trackers keep track of your
progress
Advantages:-
Accountability
Motivation
Healthy eating
Goal setting

10. Remote monitoring of Patient –Medical
Data

11. Remote monitoring of Patient –General
Data

12. Remote monitoring of Patient –Daily
Routine

13. Remote monitoring of Patient –Pharmaceutical
Data

14. Collective information of patient

15. Big Data management

16. Challenges in Big Data

17. Challenges in Big Data

18. Challenges in Big Data

19. Conclusion:-Big Data-The Future
In this presentation , we conclude that,
 We reviewed studies on big data analytics from the traditional data
analysis .
Data Sets will continue to grow.
Storage unit costs will continue to decrease.
Processing costs will decrease.
Network Capacity will continue to grow.
Data growth may exceed processing capacity.