Big data is data that is too large to be managed in traditional databases. In other words, big data is large enough to require cloud infrastructure to store it and a distributed database to manage and use it. The following are common types of big data.
SensorsData streamed by sensors such as video cameras or GPS. Many types of sensors have become extremely cheap allowing them to be embedded into everyday things. As such, sensors are expected to be a major factor in the growth of big data in the coming decades.
Machine DataData produced by machines such as commands, calculations and status information streaming out of a manufacturing automation system.
Scientific & MedicalData produced by scientific instruments and medical equipment. For example, networks of automated weather stations and satellites.
CommunicationsCommunications such as email.Knowledge such as blog posts or business documentation. For example, a search engine that processes much of the information posted to the internet requires big data technologies.
MediaData that has artistic, entertainment, social or informational value such as videos created and posted by people.
User InterfacesUser interfaces such as social media apps can produce large streams of user input data. Every click by a user is potentially data.
TransactionsCommercial transactions such as an ecommerce purchase or stock trade.
Derived DataData calculated or interpreted from other data. For example, marketing metrics such as brand engagement that are calculated using social media data.
This is the complete list of articles we have written about data.
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