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  2. 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.

  3. Pipeline (computing) - Wikipedia

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

    In computing, a pipeline or data pipeline [1] is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements. Computer-related pipelines ...

  4. Extract, transform, load - Wikipedia

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

    The architecture for the analytics pipeline shall also consider where to cleanse and enrich data [10] as well as how to conform dimensions. [1] Some of the benefits of an ELT process include speed and the ability to more easily handle both unstructured and structured data.

  5. MIPS architecture processors - Wikipedia

    en.wikipedia.org/wiki/MIPS_architecture_processors

    microAptiv [12] is a compact, real-time embedded processor core with a five-stage pipeline and the microMIPS code compression instruction set. microAptiv can be either configured as a microprocessor (microAptiv UP) with instruction and data caches and a memory management unit or as a microcontroller (microAptiv UC) with a memory protection unit ...

  6. Pipeline (software) - Wikipedia

    en.wikipedia.org/wiki/Pipeline_(software)

    In software engineering, a pipeline consists of a chain of processing elements (processes, threads, coroutines, functions, etc.), arranged so that the output of each element is the input of the next. The concept is analogous to a physical pipeline .

  7. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Big data "size" is a constantly moving target; as of 2012 ranging from a few dozen terabytes to many zettabytes of data. [26] Big data requires a set of techniques and technologies with new forms of integration to reveal insights from data-sets that are diverse, complex, and of a massive scale. [27]

  8. UIMA - Wikipedia

    en.wikipedia.org/wiki/UIMA

    UIMA (/ j u ˈ iː m ə / yoo-EE-mə), [1] short for Unstructured Information Management Architecture, is an OASIS standard [2] for content analytics, originally developed at IBM.It provides a component software architecture for the development, discovery, composition, and deployment of multi-modal analytics for the analysis of unstructured information and integration with search technologies.

  9. Pipeline Open Data Standard - Wikipedia

    en.wikipedia.org/wiki/Pipeline_Open_Data_Standard

    The Pipeline Open Data Standard (PODS) Pipeline Data Model provides the database architecture pipeline operators use to store critical information and analysis data about their pipeline systems, and to manage this data geospatially in a linear-referenced database which can then be visualized in any GIS platform.

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