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  2. Data integrity - Wikipedia

    en.wikipedia.org/wiki/Data_integrity

    Data integrity. Data integrity is the maintenance of, and the assurance of, data accuracy and consistency over its entire life-cycle. [1] It is a critical aspect to the design, implementation, and usage of any system that stores, processes, or retrieves data. The term is broad in scope and may have widely different meanings depending on the ...

  3. Data hierarchy - Wikipedia

    en.wikipedia.org/wiki/Data_hierarchy

    Data hierarchy. Data hierarchy refers to the systematic organization of data, often in a hierarchical form. Data organization involves characters, fields, records, files and so on. [1] [2] This concept is a starting point when trying to see what makes up data and whether data has a structure. For example, how does a person make sense of data ...

  4. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...

  5. Data and information visualization - Wikipedia

    en.wikipedia.org/wiki/Data_and_information...

    Data and information visualization ( data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.

  6. Data wrangling - Wikipedia

    en.wikipedia.org/wiki/Data_wrangling

    Data transformation. Data wrangling, sometimes referred to as data munging, is the process of transforming and mapping data from one "raw" data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics. The goal of data wrangling is to assure quality and useful data.

  7. Data parallelism - Wikipedia

    en.wikipedia.org/wiki/Data_parallelism

    Data parallelism is parallelization across multiple processors in parallel computing environments. It focuses on distributing the data across different nodes, which operate on the data in parallel. It can be applied on regular data structures like arrays and matrices by working on each element in parallel. It contrasts to task parallelism as ...

  8. AOL Mail for Verizon Customers - AOL Help

    help.aol.com/products/aol-mail-verizon

    Learn how to update your settings to make AOL Mail look and feel exactly how you need it. Netscape Internet Service (ISP) ยท Jan 30, 2024. Get answers to your AOL Mail, login, Desktop Gold, AOL app, password and subscription questions. Find the support options to contact customer care by email, chat, or phone number.

  9. Data (computer science) - Wikipedia

    en.wikipedia.org/wiki/Data_(computer_science)

    Data (computer science) In computer science, data (treated as singular, plural, or as a mass noun) is any sequence of one or more symbols; datum is a single symbol of data. Data requires interpretation to become information. Digital data is data that is represented using the binary number system of ones (1) and zeros (0), instead of analog ...