![]() ![]() (ii) Variety – The next aspect of Big Data is its variety. Hence, ‘Volume’ is one characteristic which needs to be considered while dealing with Big Data solutions. Also, whether a particular data can actually be considered as a Big Data or not, is dependent upon the volume of data. Size of data plays a very crucial role in determining value out of data. (i) Volume – The name Big Data itself is related to a size which is enormous. Looking at these figures one can easily understand why the name Big Data is given and imagine the challenges involved in its storage and processing.ĭo you know? Data stored in a relational database management system is one example of a ‘structured’ data.Īn ‘Employee’ table in a database is an example of Structured Dataīig data can be described by the following characteristics: ![]() However, nowadays, we are foreseeing issues when a size of such data grows to a huge extent, typical sizes are being in the rage of multiple zettabytes.ĭo you know? 10 21 bytes equal to 1 zettabyte or one billion terabytes forms a zettabyte. Over the period of time, talent in computer science has achieved greater success in developing techniques for working with such kind of data (where the format is well known in advance) and also deriving value out of it. Any data that can be stored, accessed and processed in the form of fixed format is termed as a ‘structured’ data.
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