Big Data
Big data basically refers to the massive volume of data that cannot be stored and processed using the traditional approach within the given time frame, the next big question that comes to our mind is how huge this data needs to be in order to be classified as big data. There is a lot of misconception while referring to the term Big Data we usually use the term Big Data to refer to the data that is either in gigabytes or terabytes or petabytes or exabytes or anything that is larger than this in size this does not defines the term Big Data completely even a small amount of data can be referred to as big data depending on the context it is being used. Take an example and try to explain it to you for instance if we try to attach a document that is 100 megabytes in size to an email we would not be able to do so as the email system would not support an attachment of this size therefore this 100 megabytes of attachment with respect to email can be referred to as Big Data. We can term this huge volume of data as big data let me take another real-world example related to the airline industry and try to explain the term big data for instance the aircraft's, while they're flying they keep transmitting data to the air traffic control located at the airports the air traffic control uses this data to track and monitor the status and progress of the flight on a real-time basis since multiple aircraft would be transmitting this data simultaneously a huge volume of data gets accumulated at the air traffic control within a short span of time, therefore, it becomes a challenging task to manage and process this huge volume of data using the traditional approach hence we can turn this huge volume of data as big data.
Built With
- article
Log in or sign up for Devpost to join the conversation.