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  2. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    A cloud-based architecture for enabling big data analytics. Data flows from various sources, such as personal computers, laptops, and smart phones, through cloud services for processing and analysis, finally leading to various big data applications. Cloud computing can offer access to large amounts of computational power and storage. [30]

  3. Big data - Wikipedia

    en.wikipedia.org/wiki/Big_data

    Compared to survey-based data collection, big data has low cost per data point, applies analysis techniques via machine learning and data mining, and includes diverse and new data sources, e.g., registers, social media, apps, and other forms digital data. Since 2018, survey scientists have started to examine how big data and survey science can ...

  4. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    PSPP: Data mining and statistics software under the GNU Project similar to SPSS; R: A programming language and software environment for statistical computing, data mining, and graphics. It is part of the GNU Project. scikit-learn: An open-source machine learning library for the Python programming language;

  5. Big Data Analytics Market Skyrockets to $638.66 Billion by ...

    lite.aol.com/tech/story/0022/20250130/9350388.htm

    Based on analytics tool, the global big data analytics market is classified into dashboard and data visualization, data mining and warehousing, self-service tools, reporting, and others. In 2021, the dashboard and data visualization segment dominated the global big data analytics market, according to the market research study.

  6. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]

  7. Predictive analytics - Wikipedia

    en.wikipedia.org/wiki/Predictive_analytics

    With the increased computing power also comes more data and applications, meaning a wider array of inputs to use with predictive analytics. Another technological advance includes a more user-friendly interface, allowing a smaller barrier of entry and less extensive training required for employees to utilize the software and applications ...

  8. 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.

  9. Fog computing - Wikipedia

    en.wikipedia.org/wiki/Fog_computing

    'Cloud computing' is the practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a personal computer. [29] Also known as edge computing or fogging, fog computing facilitates the operation of compute, storage, and networking services between end devices and cloud ...