Data systems are the framework that stores, collects and makes available data that organizations use. Data systems include the database system (DBMS), warehouses and specialized platforms like NoSQL databases and alternative storage methods for data like file systems and cloud object services. They also can include master data management, which creates an unified set of reference information for an organization as well as its customers, products, or other assets.
The primary characteristics of the data system are volume, variety and speed. Volume refers the amount of data that’s being processed. It can be large data sets, which are too complex for one computer to manage. Variety refers to the various types of data being gathered from traditional sensors as well as feeds from social media and other sources. Velocity is the speed of data flow into and out the data system.
These four aspects have led to the development of innovative and new data systems. There are new data platforms that can handle a broad variety of data. These platforms are in addition to the traditional databases.
A big sensor data system like this one, for instance, is a networked set of sensors/devices which gathers a wide range of data from physical sensors such as smartphones or wearable medical sensors. The readings from sensors can contain location, signal, or image information along with timestamps. The data is stored on the device, then transmitted to a server. The data is then processed to ensure that it is clear and meaningful enough to be suitable for analysis and processing.
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