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Big Data Applications
Big Data has been around since about 2007, but in the last couple of years it’s become a phrase we hear more & more of.
So what is it? Well in brief Big Data can be classified as large amounts of unstructured data. Unstructured data is loosely referred to as “data that doesn’t fit well into a standard relational database model of a table with rows and columns”. For example, emails, documents, images & audio files would be classified as unstructured data.
Big Data implementations often also deal with unrelated data sets. IE – one dataset of people living in apartments in London might be used to merge with a dataset of how many people bought bicycles last year. These data sets are seemingly unrelated, but when merged together with some clever mathematical functions might produce some useful results for companies selling bicycles for example.
Does Big Data have to be large amounts of data? No, not always, although open source Big Data software tools such as the well known Hadoop is engineered specifically to deal with large distributed data sets. A Big Data solution could also be useful for smaller amounts of data.