What Are Data Systems?
Data systems are the technology that capture, store and allow access to information that drives processes in organizations. Data systems could include the database system (DBMS) warehouses special platforms, such as NoSQL databases, and alternative storage methods for data like cloud object services. They may also include master data management, which provides an unified set of reference data for an organization and its products, customers or other assets.
The most important characteristics of a data system are variety, volume and velocity. Volume refers to the volume of data processed, typically in huge and complex data sets that cannot be handled by a single computer. Variety refers to different types of data that are being gathered from sensors or feeds from social media and other sources. Velocity refers to the speed at which data is transferred through and out of the data system.
These four traits have prompted the read development of new and innovative data systems. There are new data platforms, which can handle a diverse variety of data. These platforms are in addition to traditional databases.
A big sensor data system, for example it is a networked collection of devices and sensors that collect an array of data from physical devices like smartphones and wearable medical sensors. The readings from sensors can include location, signal or image data, along with timestamps. The data is then stored on the device and then transferred to a remote server. The data is then subjected to preprocessing to ensure that the data is clean and relevant for analysis and processing.