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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. 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. [25] 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. [26]

  4. CAP theorem - Wikipedia

    en.wikipedia.org/wiki/CAP_theorem

    CAP theorem Euler diagram. Thus, if there is a network partition, one has to choose between consistency or availability. ... common in the NoSQL movement for example ...

  5. File:Diagram of Lambda Architecture (generic).png - Wikipedia

    en.wikipedia.org/wiki/File:Diagram_of_Lambda...

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  6. Support vector machine - Wikipedia

    en.wikipedia.org/wiki/Support_vector_machine

    Analogously, the model produced by SVR depends only on a subset of the training data, because the cost function for building the model ignores any training data close to the model prediction. Another SVM version known as least-squares support vector machine (LS-SVM) has been proposed by Suykens and Vandewalle.

  7. Data architecture - Wikipedia

    en.wikipedia.org/wiki/Data_architecture

    A data architecture aims to set data standards for all its data systems as a vision or a model of the eventual interactions between those data systems. Data integration , for example, should be dependent upon data architecture standards since data integration requires data interactions between two or more data systems.

  8. C4 model - Wikipedia

    en.wikipedia.org/wiki/C4_model

    A container represents an application or a data store; Component diagrams (level 3): decompose containers into interrelated components, and relate the components to other containers or other systems; Code diagrams (level 4): provide additional details about the design of the architectural elements that can be mapped to code.

  9. Function as a service - Wikipedia

    en.wikipedia.org/wiki/Function_as_a_Service

    Lambda Pinball" is a related anti-pattern that can occur in serverless architectures when functions (e.g., AWS Lambda, Azure Functions) excessively invoke each other in fragmented chains, leading to latency, debugging and testing challenges, and reduced observability. [4]