Big data :
“Big Data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the strictures of your database architectures. To gain value from this data, you must choose an alternative way to process it.”Big Data has centered around the three Vs—volume, velocity and variety.
Volume: The quantity of data
Velocity: How quickly that data is flowing
variety: Diversity of data
When it comes to Big Data, it’s not how much data we have that really matters, but what we do with that data that delivers value/impact to your business or personal life.
Big Data meeting the cloud and mobile worlds is a game changer for businesses of all sizes.
Big data and Hadoop:
We live in the age of big data. Big data comes with 2 fundamental challenges
- How to store and work with voluminous data sizes.
- How to understand data and turn it into a competitive advantage.
You’ve most likely come across Hadoop as it’s been adopted by technology giants like Yahoo!, Facebook, and Twitter to address their big data needs, and it’s making inroads across all industrial sectors.
Hadoop is a platform that fills a gap in the market by effectively storing and providing computational capabilities over substantial amounts of data.
Hadoop meets the challenges of Big Data by simplifying the implementation of dataintensive, highly parallel distributed applications. Used throughout the world by businesses, universities, and other organizations, it allows analytical tasks to be divided into fragments of work and distributed over thousands of computers, providing fast analytics time and distributed storage of massive amounts of data.