Big data is now the most buzzing word in the world of storage and in this article let’s find out its types which are in existence. First of all big data is nothing but large data sets which are complex enough to be processed by traditional data processing applications. The data can be structured and unstructured and is available in 4 forms.
Fast data- Fast data is a form of big data which is available to be analyzed on a quick note, rather than an hour, week or month from the time of generation.
Dark Data- This form of big data includes video streams, photographs, handwritten comment cards, ingress-egress data from security kiosks. Basically, it is big data which can’t be easily accessed due to its complex nature. Usually, in this form of big data, there is a ton of content to be analyzed to find few relevant scenes.
Lost Data- This type of big data is also called as operational data, which is info gathered from manufacturing equipment, chemical boilers, industrial machinery, and other such things you find from industrial plants and commercial establishments. Technically, it’s not lost, but is often landlocked in operational systems.
New Data- It is basically the information we could get, and want to get, but are not in a position to harvest it in a proper way. For example, it is estimated that on an average, around 8.6 trillion gallons of water gets lost through leaks in pipes worldwide every year. This water actually is enough to fill a Hoover Dam. But the data is either unavailable or is hard to capture for analysis.
There are, of course, many types of internal data that contribute to big data as well, but hopefully breaking down the types of data helps you to better see why combining all of this data into big data is so powerful for business.