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Big Data- A Real Thing
• “Big Data” is a Big Deal- Harvard University.
• Big Data Universe Beginning to Explode-CSC.
• Big data is not a trend; It is a Reality -Forbes.
Big Data has long got out of the initial hype and is now
becoming an integral part of every organization’s strategic
direction.
1. No single definition !!
2. Best way to describe it would be with 3 Vs:
1. Volume (Terabytes, Petabytes, Exabytes etc.)
2. Variety (Structured, Unstructured, Semi-structured)
3. Velocity (Millions of tweets, [comments, likes, tags, shares]-on facebook, per second)
What exactly is BIG DATA?
Big Data is Everywhere !!
-Web data, E-commerce
-Purchases at Department/Grocery stores
-Bank/Credit Card/Online transactions
-Social Networks
-Airplanes, Oil-liners, Telecommunications
- You name an industry and we will tell you its Big Data applications !!
Volume of data/Unit of time
An ERP system for an mid size
company grows by 1-2 TB annually
A video surveillance generates
1-3TB data in 3 months
A commercial aircraft
generates 3 GB of
flight sensor data in
one hour.
Airtel or Vodafone generates
3 TB of call details records
everyday
Industry and Verticals: Use Cases
Industry and Verticals: Use Cases
• Big Data is a paradigm-shift, ‘once-in-a-life-time’ opportunity for everyone involved, both
organizations and individuals.
• Since data (structured, semi-structured, unstructured) just accumulates every single day,
‘Qualified Big Data professionals’ is and will be, for the foreseeable future, a big need of the
industry.
• Corporations that can make the best use of this data to mine for rich insights will have a
huge leading edge over their competitors.
• Governmental, Non-profit and Service organizations will be able to provide inclusive, value-
added and timely services to those in need.
• The need of the hour is to build qualified Big Data Professionals from ground-up who can
handle and make sense of the ever-accumulating data and convert it into useful insights and
applications.
Conclusion:

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Big datascope by quantfarm

  • 1. Big Data- A Real Thing • “Big Data” is a Big Deal- Harvard University. • Big Data Universe Beginning to Explode-CSC. • Big data is not a trend; It is a Reality -Forbes. Big Data has long got out of the initial hype and is now becoming an integral part of every organization’s strategic direction.
  • 2. 1. No single definition !! 2. Best way to describe it would be with 3 Vs: 1. Volume (Terabytes, Petabytes, Exabytes etc.) 2. Variety (Structured, Unstructured, Semi-structured) 3. Velocity (Millions of tweets, [comments, likes, tags, shares]-on facebook, per second) What exactly is BIG DATA?
  • 3. Big Data is Everywhere !! -Web data, E-commerce -Purchases at Department/Grocery stores -Bank/Credit Card/Online transactions -Social Networks -Airplanes, Oil-liners, Telecommunications - You name an industry and we will tell you its Big Data applications !!
  • 4. Volume of data/Unit of time An ERP system for an mid size company grows by 1-2 TB annually A video surveillance generates 1-3TB data in 3 months A commercial aircraft generates 3 GB of flight sensor data in one hour. Airtel or Vodafone generates 3 TB of call details records everyday
  • 5.
  • 8. • Big Data is a paradigm-shift, ‘once-in-a-life-time’ opportunity for everyone involved, both organizations and individuals. • Since data (structured, semi-structured, unstructured) just accumulates every single day, ‘Qualified Big Data professionals’ is and will be, for the foreseeable future, a big need of the industry. • Corporations that can make the best use of this data to mine for rich insights will have a huge leading edge over their competitors. • Governmental, Non-profit and Service organizations will be able to provide inclusive, value- added and timely services to those in need. • The need of the hour is to build qualified Big Data Professionals from ground-up who can handle and make sense of the ever-accumulating data and convert it into useful insights and applications. Conclusion:

Editor's Notes

  1. At this point, introduce the QuantFarm brochure and talk briefly about the 3 (Developer, Analyst, Data Science tracks) offerings.