Before we get into “Big data”, let’s see what actually data is. Data is a value assigned to a thing. For example, assume a chocolate. For a chocolate to be unique, there are a few specifications(data) like colour, cost, type, small candy or a big chocolate. Each specification above is a data, but individual data is purely meaningless by itself.
When all those data is combined, we get meaningful “information”. This is something brief about Data. Now, let’s see what Big data is.
Previously only companies used to enter data into the computers, but now with the internet, even users (we) POST or enter huge data, it is estimated that we produce 2 quintillion (which means 1 followed by 18 zeros) bytes of data every day.
How?? For example through facebook or twitter or for that matter any social networking website the data is given, when we signup or enter our data or post photos or even tweet makes it a data. This is kinda huge data, from just companies entering data to users entering data. Now, we even have machines entering data on a daily basis, like entering the weather information, traffic info, even satellites etc… This huge amount of data is called BIG DATA.
Big data is very useful in various fields, for example, if all the traffic data is accurately taken and processed everyday and everywhere or atleast for a confined place, then it is easy to build a self driving car with all the “traffic” awareness;) Even useful for INTERNET OF THINGS(Internet of things ) This is just a flick on how big data can be used.
Processing is nothing but getting information from the data right! So, how do we process that huge millions of bytes of data?
Well, in those old days, we used to give the data to the computers to process. But now with the tremendous amount of data, we are bringing multiple processors to the data. If you have ever seen server rooms containing data, each server contains processor to process the data.
Quick thought: Some tasks that humans find easy are still difficult for computers;)
Image from Google…