Data systems are the infrastructure that collect, store and provide access to data that drives organizational processes. Data systems may include the database system (DBMS), warehouses special platforms, such as NoSQL databases as well as alternative storage models for data such as file systems and cloud object click here for more info services. They could also include master data management, which creates an organization’s common set of reference data for its products, clients, or other assets.
Volume speed, variety, and velocity are the primary characteristics of a data management system. Volume refers to the amount of data being processed, typically in huge and complex data sets that can’t be handled by one computer. Variety refers the various types of data being collected from sensors that are traditional as well as social media feeds and other sources. Velocity refers to the speed at which data flowing 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 broad variety of data. These platforms are in addition to traditional databases.
A big sensor data system, for instance, is a networked collection of sensors and devices that collect many kinds of data from physical devices such as smartphones and medical wearable sensors. The readings from sensors can contain location, signal or image information, as well as timestamps. The data is saved on the device, and later transferred to a server. The data is then subjected to preprocessing to ensure that the data is clean and relevant for processing and analysis.
