A big data application deals with large volumes of fast-growing data. This is the most widely accepted definition and the most basic one too. Although a unique academic definition for big data does not exist, a more detailed definition of a big data application states is inclusive of the following criteria:
It handles huge volumes of data, to take care of its size on every usage such
SQL SELECTqueries or similar. As the word Big suggests, to deal with big data, the total data size must be huge. These days, any database that is less than 100 GB in size cannot be considered as a valid big data storage.It handles fast-growing data in the meaning of velocity of growth. Real big data architecture and solutions are applicable only to fast-growing data; otherwise, we are simply dealing with a huge dataset. Any ever-growing large data store can be handled easily by any application in a few hours or days, depending on the scale of the data. The important thing to note here is that...