Big Data means
tremendously huge data. Just for you to get an idea how huge it is, on an
average day Facebook will have around 700+ terabytes of data, which is roughly
7,15,000+ Gigabytes of data. When calculated for a year this becomes roughly
250+ Petabytes of data (1 petabyte = 1024 Terabytes) i.e. roughly 2,55,500
Terabytes of data or 26,16,32,000 Gigabytes of data. Now imagine storing and
processing all this data (more than 1000 Exabyte; 1 Exabyte = 1024 Petabytes)
along with data from other such sources (which could all add up to zettabyte or
yottabyte of data) in a single open source framework and that is Hadoop for
you. This data could consist of more than Trillions of data of Billions of people
from social media, banks, internet, mobile data etc. Hadoop Distributed Files
System – HDFS (a software of Apache Software Foundation) provides software
frameworks for storage and processing of Big Data. Learn more with SMEClabs,
BIG DATA APACHE HADOOP taught in detail.
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