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  1. Gayatri Padhi Roll: 13CSE016 Branch: Computer Science and Engineering Priyanka Mukherjee Roll: 13CSE049 Branch: Computer Science and Engineering
  2.  What is Big Data  Causes of theevolution of BigData  Big Dataand its Challenges  How usefulis Big Data  Real-World Platformsfor Big Data Management
  3. 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".
  4. Apart from the 3V’s of the Big Data,Modernization and Improvements in data management strategy has added more 2V’s to it…
  5. Meeting the need for speed. Understanding the data. Addressing data quality. Displaying meaningful results. Dealing with outliers.
  6. Apache Hadoop Map-Reduce Flow Diagram
  7. 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 ??? …
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  9. Any queries , Please!