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  2. Data stream - Wikipedia

    en.wikipedia.org/wiki/Data_stream

    Data Stream contains different sets of data, that depend on the chosen data format. Attributes – each attribute [3] of the data stream represents a certain type of data, e.g. segment / data point ID, timestamp, geodata.

  3. Data stream management system - Wikipedia

    en.wikipedia.org/wiki/Data_stream_management_system

    A data stream management system (DSMS) is a computer software system to manage continuous data streams.It is similar to a database management system (DBMS), which is, however, designed for static data in conventional databases.

  4. Datastream - Wikipedia

    en.wikipedia.org/wiki/Datastream

    Datastream is a wholesale product in which the wholesale customer can purchase connectivity between their own point of presence and a number of end users. Some authors use the term "datastream" for replacing the term dataflow to avoid confusion with dataflow computing or dataflow architecture , based on an indeterministic machine paradigm (a ...

  5. 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.

  6. Datastream Digital - Wikipedia

    en.wikipedia.org/wiki/Datastream_Digital

    Datastream Digital Sdn Bhd. (DST), formerly DataStream Technology Sdn Bhd, is a Brunei-based government-linked [3] conglomerate headquartered in the DST Group Building in Bandar Seri Begawan, Brunei. It was established in 1995 and as of December 2021 has at least 420,000 subscribers.

  7. Stream processing - Wikipedia

    en.wikipedia.org/wiki/Stream_processing

    In computer science, stream processing (also known as event stream processing, data stream processing, or distributed stream processing) is a programming paradigm which views streams, or sequences of events in time, as the central input and output objects of computation.

  8. Apache Flink - Wikipedia

    en.wikipedia.org/wiki/Apache_Flink

    Apache Flink includes two core APIs: a DataStream API for bounded or unbounded streams of data and a DataSet API for bounded data sets. Flink also offers a Table API, which is a SQL-like expression language for relational stream and batch processing that can be easily embedded in Flink's DataStream and DataSet APIs.

  9. Thomson Financial - Wikipedia

    en.wikipedia.org/wiki/Thomson_Financial

    Thomson ONE is a core product, although legacy branded offerings such as Datastream Advance and Global Topic will probably remain for a few years. [year needed] Thomson ONE was a competitor of Bloomberg L.P., Capital IQ and FactSet Research Systems.