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Data systems are the infrastructure that stores, collects and provides access to data that businesses use. They can include the database management system (DBMS) as well as data warehouses, special data platforms such as NoSQL databases, and alternative data storage models such as file systems and cloud object storage services. They also can include master-data management, which is an organization’s common set of reference data for its clients, products and other assets.

Volume speed, variety, and velocity are the key characteristics of a successful data management system. Volume refers to the volume of data that’s being processed. It could be large data sets that are too complex for a single computer to handle. Variety refers to the different kinds of data that are gathered through traditional sensors or social media feeds as well as other sources. Velocity is the speed at which data movement into and out the data system.

These four traits have led to the development of new and innovative 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 devices and sensors that collect many kinds of data from physical devices such as smartphones and medical wearable sensors. The sensor data readings could contain signal, image or location data with timestamps and other metadata. The data is saved on the device and then transferred to a remote server. The data is then processed to ensure that it is safe and relevant enough for processing and analysing.