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Data systems are the infrastructure that collects, stores and allows access to data that is used by organizations. Data systems include the database system (DBMS), warehouses special platforms, such as NoSQL databases, and alternative data storage models like file systems and cloud object services. They could also include master data management, which creates an organization’s common set of information for its clients, products, or other assets.

The most important characteristics of a data system are volume, variety and speed. Volume refers to the amount of data being processed usually in large and complex data sets that cannot be handled by a single computer. Variety refers to the various types of data that are being gathered from traditional sensors as well as feeds from social media and other sources. Velocity refers to the speed at which data is transferred into and out of the data system.

These four characteristics have led to the development of innovative and novel data systems. There are new data platforms that can handle a vast variety of data. These platforms are in addition to traditional databases.

A big sensor data system, such as is a networked collection of sensors/devices that gather a large variety of data from physical devices such as smartphones and medical wearable sensors. Sensor data readings can include signal, image or location data with timestamps as well as other data. The data is then stored on the device and then transferred to a remote server. The data is then processed to ensure that it is clean and meaningful enough for processing and analysing.