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9 Types Of Big Data

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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, manage it and use it. The following are common types of big data.

Sensors

Data 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 Data

Data produced by machines such as commands, calculations and status information streaming out of a manufacturing automation system.

Scientific & Medical

Data produced by scientific instruments and medical equipment. For example, networks of automated weather stations and satellites.

Communications

Communications such as email.

Knowledge

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.

Media

Data that has artistic, entertainment, social or informational value such as videos created and posted by people.

User Interfaces

User interfaces such as social media apps can produce large streams of user input data. Every click by a user is potentially data.

Transactions

Commercial transactions such as an ecommerce purchase or stock trade.

Derived Data

Data calculated or interpreted from other data. For example, marketing metrics such as brand engagement that are calculated using social media data.
Overview: Big Data
Type
Definition
Data that is large enough to require parallel processing technologies and cloud infrastructure to manage and use it.
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