Huge Elephant representing as a big data

Big Data:

Big data a new buzzword in a market we are hearing all around now a days. What really big data means?

In simple words big data says, data sets which are so large, complex and unstructured that makes them difficult and impossible to process, analyze using traditional databases.

Now a days people are creating huge data every day. Each organization is generating huge pile of data which is very unstructured and huge which makes it difficult to process and analyze. Big data provides us a way to manage these huge data sets.

How much data is really a big data?

Some GBs of data, some TBs of data or some petabytes of data?

Well this is a debatable questions as to what we should call a really big data. Ideally data which is complex and more than hundreds of GB's which is difficult to process with traditional ways should be called as a big data. It scales up to terabytes to petabytes and more.

Big Data Analysis:

Analyzing these huge data sets which forms a complex and unstructured data is difficult with traditional way. This is where big data analytics comes in to picture.

We got to know what the big data is, but how to process these huge data sets and analyse them to generate reports and specific trends from huge datasets?

Implementing Big Data:
There are various open source technologies used to analyse these huge data sets.
Popular are Hadoop, Pig, Hive. No SQL dabases lik Hbase, Cassandra, in memory databases like Redis, R programming etc.

Will Big Data be a future:

This will be a point to be seen in near future, as of now every one is talking about big data. It is this and that, we can process huge data etc etc and people are exploring it. But very few people know how to use this big data technologies, every one is following others but knowing very less about how it help us.

Watch out this space.