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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. Orfeo toolbox - Wikipedia

    en.wikipedia.org/wiki/Orfeo_toolbox

    The OTB-Applications package makes available a set of simple software tools . It supports raster and vector data and integrates most of the already existing OTB applications. The architecture takes advantage of the streaming and multi-threading capabilities of the OTB pipeline. It also uses features such as processing on demand and automagic ...

  4. Lambda architecture - Wikipedia

    en.wikipedia.org/wiki/Lambda_architecture

    This approach to architecture attempts to balance latency, throughput, and fault-tolerance by using batch processing to provide comprehensive and accurate views of batch data, while simultaneously using real-time stream processing to provide views of online data. The two view outputs may be joined before presentation.

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Pipeline: allowing the simultaneous running of several components on the same data stream, e.g. looking up a value on record 1 at the same time as adding two fields on record 2 Component: The simultaneous running of multiple processes on different data streams in the same job, e.g. sorting one input file while removing duplicates on another file

  6. Pipeline Pilot - Wikipedia

    en.wikipedia.org/wiki/Pipeline_pilot

    Pipeline Pilot is a software tool designed for data manipulation and analysis. It provides a graphical user interface for users to construct workflows that integrate and process data from multiple sources, including CSV files, text files, and databases. The software is commonly used in extract, transform, and load (ETL) tasks.

  7. Apache Pig - Wikipedia

    en.wikipedia.org/wiki/Apache_Pig

    It has also been argued RDBMSs offer out of the box support for column-storage, working with compressed data, indexes for efficient random data access, and transaction-level fault tolerance. [10] Pig Latin is procedural and fits very naturally in the pipeline paradigm while SQL is instead declarative. In SQL users can specify that data from two ...

  8. GStreamer - Wikipedia

    en.wikipedia.org/wiki/GStreamer

    When the pipeline is in the playing state, data buffers flow from the source pad to the sink pad. Pads negotiate the kind of data that will be sent using capabilities. The diagram to the right could exemplify playing an MP3 file using GStreamer. The file source reads an MP3 file from a computer's hard-drive and sends it to the MP3 decoder.

  9. Inter-process communication - Wikipedia

    en.wikipedia.org/wiki/Inter-process_communication

    A unidirectional data channel using standard input and output. Data written to the write-end of the pipe is buffered by the operating system until it is read from the read-end of the pipe. Two-way communication between processes can be achieved by using two pipes in opposite "directions". All POSIX systems, Windows Named pipe