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The Data Distribution Service (DDS) for real-time systems is an Object Management Group (OMG) machine-to-machine (sometimes called middleware or connectivity framework) standard that aims to enable dependable, high-performance, interoperable, real-time, scalable data exchanges using a publish–subscribe pattern.
The Object Management Group's Data Distribution Service (DDS) provides message-oriented Publish/Subscribe (P/S) middleware standard that aims to enable scalable, real-time, dependable, high performance and interoperable data exchanges between publishers and subscribers. [7] The standard provides interfaces to C++, C++11, C, Ada, Java, and Ruby.
The Data Distribution Service (DDS) middleware does not use a broker in the middle. Instead, each publisher and subscriber in the pub/sub system shares meta-data about each other via IP multicast. The publisher and the subscribers cache this information locally and route messages based on the discovery of each other in the shared cognizance.
Data Definition Specification, in software data management; Data Description Specifications, in AS/400 programming; Data Distribution Service, an Object Management Group standard for publish/subscribe middleware for distributed systems; Data dictionary system of ICL's VME operating system; see ICL VME#QuickBuild
Data Distribution Service for Real-time Systems (DDS) is a specification of a publish/subscribe middleware for distributed systems created in response to the need to standardize a data-centric publish-subscribe programming model for distributed systems.
Financial software or financial system software is special application software that records all the financial activity within a business organization. Basic features of this system not only includes all the download of accounting software like accounts payable, accounts receivable, ledger, reporting modules and payroll but also to explore alternative investment choices and calculate ...
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An operational data store (ODS) is used for operational reporting and as a source of data for the enterprise data warehouse (EDW). It is a complementary element to an EDW in a decision support environment, and is used for operational reporting, controls, and decision making, as opposed to the EDW, which is used for tactical and strategic decision support.