Data systems are the infrastructure which collect, store and make available data that is used to drive organizational processes. They can comprise the database management system (DBMS) as well as data warehouses, special data platforms like NoSQL databases and alternative storage options for data such as file systems and cloud object storage services. They also can include master data management, which is the process of creating an unified set of reference http://www.virtualdatareviews.com/creative-roblox-avatar-style-ideas/ data for an organization and its customers, products or other assets.
The key features of data systems are volume, variety and velocity. Volume refers the amount of data processed. It can be large data sets, which are too complicated for a single computer to handle. Variety refers to the different kinds of data that are gathered from sensors that are traditional, social media feeds and other sources. Velocity refers to the speed at which data flows through and out of the data system.
These four aspects have led to the development of innovative and new 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 instance is a networked collection of sensors or devices that collect an array of data from physical devices like smartphones and wearable medical sensors. Sensor data readings can include signal, image or location information along with timestamps, as well as other metadata. The data is then saved on the device before being sent to a central server. The data is then processed to ensure that the resulting data is clear and useful to be processed and analysed.
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