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  2. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    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 for stock orders, and one for the resulting stock trades.

  3. Azure Stream Analytics - Wikipedia

    en.wikipedia.org/wiki/Azure_Stream_Analytics

    Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications. [1]

  4. Streaming data - Wikipedia

    en.wikipedia.org/wiki/Streaming_data

    IBM streams for example is an analytics platform that enables the applications developed by users to gather, analyze and correlate information that comes to them from a variety of sources . The third characteristic, connectivity, describes that a digital technology not only connects applications, devices and users but also connects customers ...

  5. Streaming algorithm - Wikipedia

    en.wikipedia.org/wiki/Streaming_algorithm

    A special case is the majority problem, which is to determine whether or not any value constitutes a majority of the stream. More formally, fix some positive constant c > 1, let the length of the stream be m, and let f i denote the frequency of value i in the stream. The frequent elements problem is to output the set { i | f i > m/c }. [13]

  6. Stream (computing) - Wikipedia

    en.wikipedia.org/wiki/Stream_(computing)

    Stream editing processes a file or files, in-place, without having to load the file(s) into a user interface. One example of such use is to do a search and replace on all the files in a directory, from the command line. On Unix and related systems based on the C language, a stream is a source or sink of data, usually individual bytes or characters.

  7. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    The two view outputs may be joined before presentation. The rise of lambda architecture is correlated with the growth of big data, real-time analytics, and the drive to mitigate the latencies of map-reduce. [1] Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record.

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    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Data stream mining - Wikipedia

    en.wikipedia.org/wiki/Data_stream_mining

    Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities.