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  2. Domain-specific architecture - Wikipedia

    en.wikipedia.org/wiki/Domain-specific_architecture

    A domain-specific architecture (DSA) is a programmable computer architecture specifically tailored to operate very efficiently within the confines of a given application domain. The term is often used in contrast to general-purpose architectures, such as CPUs , that are designed to operate on any computer program .

  3. Data as a service business model - Wikipedia

    en.wikipedia.org/wiki/Data_as_a_service

    In this business model, data provides value as a support mechanism or a tool for creating other value propositions, that's why the revenue stream is typically quite a bit lower. [19] In turn, Data as a Service is one of 3 categories of big data business models based on their value propositions and customers: Answers as a Service;

  4. Data structure - Wikipedia

    en.wikipedia.org/wiki/Data_structure

    A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.

  5. Business analytics - Wikipedia

    en.wikipedia.org/wiki/Business_analytics

    Business analytics (BA) refers to the skills, technologies, and practices for iterative exploration and investigation of past business performance to gain insight and drive business planning. Business analytics focuses on developing new insights and understanding of business performance based on data and statistical methods .

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Analytics is the "extensive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based management to drive decisions and actions." It is a subset of business intelligence, which is a set of technologies and processes that uses data to understand and analyze business performance to drive decision-making .

  7. Search algorithm - Wikipedia

    en.wikipedia.org/wiki/Search_algorithm

    Specific applications of search algorithms include: Problems in combinatorial optimization, such as: . The vehicle routing problem, a form of shortest path problem; The knapsack problem: Given a set of items, each with a weight and a value, determine the number of each item to include in a collection so that the total weight is less than or equal to a given limit and the total value is as ...

  8. Bloom filter - Wikipedia

    en.wikipedia.org/wiki/Bloom_filter

    The Cascading analytics framework uses Bloom filters to speed up asymmetric joins, where one of the joined data sets is significantly larger than the other (often called Bloom join in the database literature). [23] The Exim mail transfer agent (MTA) uses Bloom filters in its rate-limit feature. [citation needed]

  9. Delivery schedule adherence - Wikipedia

    en.wikipedia.org/wiki/Delivery_schedule_adherence

    Delivery schedule adherence (DSA) is a business metric used to calculate the timeliness of deliveries from suppliers. It is a commonly used supply chain metric and forms part of the Quality, Cost, Delivery group of performance indicators.