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Data streaming is also modular, because systems components may be separated and recombined mainly for flexibility and variety. Data streaming works in different application versions and systems such as iOS. It is also possible to change the speed of data streaming. [9] A consequence of modularity is the creation of platforms.
Real-time databases may be modified to improve accuracy and efficiency and to avoid conflict, by providing deadlines and wait periods to insure temporal consistency. Real-time database systems offer a way of monitoring a physical system and representing it in data streams to a database. A data stream, like memory, fades over time.
By way of illustration, the following code fragments demonstrate detection of patterns within event streams. The first is an example of processing a data stream using a continuous SQL query (a query that executes forever processing arriving data based on timestamps and window duration). This code fragment illustrates a JOIN of two data streams ...
One example is to choose the order of two successive join operators. In DBMS this decision is mostly done by certain statistics of the involved databases. But, since the data of a data streams is unknown in advance, there are no such statistics in a DSMS. However, it is possible to observe a data stream for a certain time to obtain some statistics.
LIVE555 – a set of open source (LGPL) C++ libraries for multimedia streaming; its RTSP/RTP/RTCP client implementation is used by VLC media player and MPlayer; Lyrion Music Server – open source music streaming server, backboned by a music database (formerly SlimServer, SqueezeCenter, Squeezebox Server, and Logitech Media Server)
SQLstream SQLstream's stream processing platform, s-Server, provides a relational stream computing platform for analyzing large volumes of service, sensor and machine and log file data in real-time. TIBCO BusinessEvents & Streambase - CEP platform and High Performance Low Latency Event Stream Processing; WebSphere Business Events