We never realize but whatever technology we use generates huge quantity
of data every day. The most interesting part is how much data are piling up in
the servers? The answer is 1800 Exabyte/yr (1 EB = 1000 Petabyte = 1
million Terabyte = 1 billion Gigabyte) this data comes out of sensors, server
logs, our Smartphone, web site, use of Social media. Out of curiosity
Facebook alone generates around 500 Terabyte of data every day and the same
amount of data generates is generated by Airbus passenger Carrier flight in one day, The New York Stock
Exchange generates about one terabyte of new trade data per day. All these data are unstructured data.
Big
Data is a popular term
used to describe the exponential growth and availability of data, both
structured and unstructured.
Back in 2000’s, Big Data was defined
as the three “V”s:
· Volume: Many factors contribute to the
increase in data volume. The exponential growth in the data storage out of
sensor and machine-to-machine data Unstructured data streaming in from social
media. Few years back excessive data volume was a storage issue, after the cost
decreases there other issues comes up like analyzing the data founding the
relevance within such a huge data.
· Velocity: Velocity if Data can be
understood by the data flow in social media, today peoples rely on social media
for updating themselves with latest happening. Sometimes a few seconds old
message also don’t interests user. They discard old messages and use to pay
attention on the recent one. Data is streaming in at unprecedented speed and
must be dealt with in a timely manner. Reacting quickly enough to deal with
data velocity is a challenge for most organizations.
· Variety: Today we are not just limited
to Structured, numeric data stored in traditional databases. We are dealing
with unstructured text documents, emails, videos, audios, and financial
transactions. Something even the most famous organizations do struggle in managing,
merging and governing all these different varieties of data.

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