Gayatri Padhi
Roll: 13CSE016
Branch: Computer Science and Engineering
Priyanka Mukherjee
Roll: 13CSE049
Branch: Computer Science and Engineering

 What is Big Data
 Causes of theevolution of BigData
 Big Dataand its Challenges
 How usefulis Big Data
 Real-World Platformsfor Big Data Management

In a 2001 research report and related lectures, META Group (now, Gartner)
analyst Doug Laney defined data growth challenges and opportunities as being
three-dimensional, i.e., Increasing :
 Volume (amount of data),
 Velocity (speed of data in and out),and,
 Variety (range of data types and sources).
In 2012, Gartner updated its definition as follows :
"Big data is high volume, high velocity, and/or high
variety information assets that require new forms of
processing to enable enhanced decision making, insight
discovery and process optimization."
Gartner's definition of the 3V’s is still widely used, and in agreement with a
consensual definition, that states that :
"Big Data represents the Information assets characterized by such a High
Volume, Velocity and Variety to require specific Technology and
Analytical Methods for its transformation into Value".

Apart from the 3V’s of the Big Data,Modernization
and Improvements in data management strategy has
added more 2V’s to it…

Meeting the need for
speed.
Understanding the
data.
Addressing data
quality.
Displaying meaningful
results.
Dealing with outliers.

Apache Hadoop Map-Reduce
Flow Diagram

As technology progresses and computers get faster , Big
Data is going to get more and more powerful.
This is already evident by the use of Apache Hadoop ,
Spark, and other real-time analytics search engines capable
of lighting fast data proccessing .
Buiseness must strive to keep up with the developments. Big
data evolves quickly , You don’t want to get to left
behind!! Isn’t it ??? …

 www.slideshare.com
 www.wikipedia.com
 www.tutorialspoint.com

Any queries , Please!