This document provides an introduction to big data, including definitions of big data and why it is important. It discusses characteristics of big data like volume, velocity, variety and veracity. It provides examples of big data applications in various industries like GE, Boeing, social media, finance, CERN, journalism, politics and more. It also introduces NoSQL and the CAP theorem, and concludes that big data is changing business and technology by enabling new insights from data to reduce costs and optimize operations.

1. Introduction to Big Data
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2. Content
• What is Big Data?
• Big Data Application
• Introduction to NoSQL
• CAP Theory
• Conclusion

3. What is Big Data?
Big data is about Application of new tools to do more
analytics on more data for more people.
Big data is a term for data sets that are so large or complex that
traditional data processing applications are inadequate.

4. Why Big Data is Important?
Thomas H. Davenport
Jill Dyché
1. Cost reduction: Big data technologies such as Hadoop and cloud-based
analytics bring significant cost advantages when it comes to storing large
amounts of data – plus they can identify more efficient ways of doing
business.
2. Faster, better decision making: With the speed of Hadoop and in-
memory analytics, combined with the ability to analyze new sources of data,
businesses are able to analyze information immediately – and make
decisions based on what they’ve learned.
3. New products and services: With the ability to gauge customer
needs and satisfaction through analytics comes the power to give customers
what they want. Davenport points out that with big data analytics, more
companies are creating new products to meet customers’ needs.

5. Big Data : General Characteristics
Volume:
Scale of Data
Velocity :
Streaming Data, Data
Production Rate
Variety:
Different type of Data
Veracity:
Uncertainty of data,
lack of confidence in
Data

6. Big Data : GE
"One sensor on a blade of a gas turbine engine generates
520GB per day, and you have 20 of them."
"The airline industry spends $200bn on fuel per year so a
2% saving is $4bn. GE provides software that enables
airline pilots to manage fuel efficiency." Bill Ruh :
Senior VP and Chief
Digital Officer (CDO)
for GE
"We invested $1.5bn over four years to develop
services and create new software. We are working on
making devices more intelligent using sensors; and
controllers that can be configured in real time,"

7. Big Data : Boeing 787 Dreamliner
David Bulman,
Director of Technology,
Virgin Atlantic Airways
Every flight a 787 takes, it can produce over 500GB of data. That may sound
like a lot, but when you consider ever part of the aircraft is being monitored
and is Internet-connected, you can see how the gigabytes soon add up.

8. Big Data : Social Media

9. Big Data : Fin Tech
1. Traditional Data Warehouse to Big Data Warehouse
2. Achieving a 360-degree view of your customer
3. Credit Card Fraud Detection
4. Stock Market forecasting
5. Location Based Recommendation
6. Many more ….

10. Big Data : CERN Particle Accelerator
Four Experiments:
1. ALICE: 4 GB/s
2. ATLAS: 800 MB/s – 1 GB/s
3. CMS: 600 MB/s
4. LHCb: 750 MB/s
The raw data per event is around one million bytes (1
Mb), produced at a rate of about 600 million events per
second.

11. Big Data : Journalism

12. Big Data : Politics & Governance
1. Sentiment & Predictive analysis of candidates
2. Big Data for Policy Making process

13. Big Data : Many More Applications
1. Healthcare
2. E-Commerce
3. Online Search Engine
4. Smart City
5. Online Recommendation Engines
6. City Traffic Prediction
7. Weather Information & Prediction
8. Space Science Data
9. Biological Data
10. Radar Information
11. RFID trackers
12. Etc…..

14. Introduction to Nosql

15. CAP Theory
http://blog.nahurst.com/visual-guide-to-nosql-systems

16. ACID vs BASE
ACID = Atomicity, Consistency, Isolation and Durability
BASE = Basically Available, Soft State and Eventual Consistency
ACID focuses on Consistency and Availability
BASE focuses on Partition tolerance and
Availability

17. Conclusion
 Big Data is changing the shape of Business and Technology. Big
Data brings lot of value from existing data and help business
reduce cost and optimize operations.
 Big Data Tools have brought new possibilities and
opportunities with capability to perform analytics and
produce valuable insights .

18. nishant@serendio.com
Serendio provides Big Data Science Solutions &
Services for Data-Driven Enterprises.
Learn more at:
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