HOW ARE WE GETTING BIG DATA?

There are different data generators like sensors,   CCTV, online shopping, airlines, hospitality data, social networks like Facebook, twitter, linked in, and e bloggers and so on

There are many real examples of such a huge data.

Social media such as Facebook generates more than 500 TB of data on a single day, New York Stock Exchange generates more than 1 TB data per day. These are some of examples of Big Data.

If we are living in 100 percent of data world, 90 percent of data has been generated for the last two years and the remaining 10 percent of the data has been generated for the long back when these systems were getting introduced.

In fact, big data is about more than just the “bigness” of the data. Its key characteristics, coined by industry analysts are the “Three V’s,” which include volume (size) as well as velocity (speed) and variety (type). As far as we are getting so much of big data, we must be in a position to process that much of huge data in less time.  With the time as data has increased but processing speed has not been increased to synchronise with such a data.

So our processing power must be equalise to our big data, in that sense Hadoop has been introduced as a best solution to big data. Hadoop knows very well how to store and process huge data in less time.