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  2. 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]

  3. Platform engineering - Wikipedia

    en.wikipedia.org/wiki/Platform_engineering

    Platform engineering is a software engineering discipline focused on the development of self-service toolchains, services, and processes to create an internal developer platform (IDP). [1] The shared IDP can be utilized by software development teams, enabling them to innovate.

  4. Apache Hadoop - Wikipedia

    en.wikipedia.org/wiki/Apache_Hadoop

    Apache Hadoop (/ h ə ˈ d uː p /) is a collection of open-source software utilities for reliable, scalable, distributed computing.It provides a software framework for distributed storage and processing of big data using the MapReduce programming model.

  5. Apache Pig - Wikipedia

    en.wikipedia.org/wiki/Apache_Pig

    Apache Pig [1] is a high-level platform for creating programs that run on Apache Hadoop. The language for this platform is called Pig Latin. [1] Pig can execute its Hadoop jobs in MapReduce, Apache Tez, or Apache Spark. [2]

  6. Data as a service - Wikipedia

    en.wikipedia.org/wiki/Data_as_a_service

    Service-oriented architecture (SOA) and the widespread use of APIs have rendered the platform on which the data resides as irrelevant. [3] Data as a service as a business model is a concept when two or more organizations buy, sell, or trade machine-readable data in exchange for something of value. [4]

  7. DataOps - Wikipedia

    en.wikipedia.org/wiki/Dataops

    DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]

  8. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

  9. Digital platform (infrastructure) - Wikipedia

    en.wikipedia.org/wiki/Digital_platform...

    A digital platform is a software-based online infrastructure that facilitates user interactions and transactions.. Digital platforms can act as data aggregators to help users navigate large amounts of information, as is the case with search engines; as matchmakers to enable transactions between users, as is the case with digital marketplaces; or as collaborative tools to support the ...

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