Big Data

In most IT portal news feed, you can see these two words. It is also relatively new term in IT, because of big growth of IT, there are more and more data, and it needs to be stored or processed or delivered. Facebook is big example for this. As the facebook user count is bigger, more data is collecting and processing. For this you need complex algorithams so it would everything run smoothly and with no delay on users screens. Relational database management systems and desktop statistics and visualization packages often have difficulty handling big data. The work may require massively parallel software running on tens, hundreds, or even thousands of servers.


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