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Kinesis Data Streams is a scalable and durable real-time data streaming service that captures and processes gigabytes of data per second from multiple sources. [8] It enables the storage and processing of data in real time, making it useful for applications that require immediate insights, such as monitoring and alerting.
A data lake refers to the storage of a large amount of unstructured and semi data, and is useful due to the increase of big data as it can be stored in such a way that firms can dive into the data lake and pull out what they need at the moment they need it, [3] whereas a data stream can perform real-time analysis on streaming data, and it ...
GTFS Realtime (also known as GTFS-rt) is an extension to GTFS, in which public transport agencies share real-time vehicle locations, arrival time predictions, and alerts such as detours and cancellations via Protocol Buffers web server. [1] Realtime location data is created continuously by an agency from automatic vehicle location (AVL) systems ...
openPDC — A set of applications for processing streaming time-series data in real-time. Oracle Event Processing - for building applications to filter, correlate, and process events in real time. SAP ESP - A low-latency, rapid development and deployment platform that allows processing multiple streams of data in real time [19]
HTTP Live Streaming uses a conventional web server, that implements support for HTTP Live Streaming (HLS), to distribute audiovisual content and requires specific software, such as OBS to fit the content into a proper format for transmission in real time over a network. The service architecture comprises:
Therefore, another system is needed. 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 ...
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