Data systems are the framework which captures, stores and gives access to information that businesses use. They may include the database management system (DBMS) and data warehouses, data platforms that are specialized like NoSQL databases and alternative data storage models such as file systems and cloud object storage services. They also can include master-data management, which creates an organization’s common set of reference data for its clients, products or other assets.

Volume as well as variety and speed are the most important aspects of a good data management system. Volume refers to the amount of data that is processed. This could be extremely huge data sets, that navigate to this site are too complex for one computer to manage. Variety refers to different types of data that are being collected from sensors that are traditional as well as feeds from social media, and other sources. Velocity is the speed at which data movement into and out the data system.

These four traits have led to the creation of innovative and new data systems. In addition to the conventional databases and DBMS technologies there are now a variety of new data platforms capable of handling a broad range of data.

A big sensor data system, like it is a collection of sensors or devices that collect numerous types of information from physical devices such as smartphones and medical wearable sensors. The sensor data readings contain signal, location or image data, along with timestamps. The data is stored on the device and transmitted to the central server. The data is then processed to ensure that it is clean and useful enough for processing and analysing.