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  1. What is structured data? Structured data—typically categorized as quantitative data—is highly organized and easily decipherable by machine learning algorithms. Developed by IBM® in 1974, structured query language (SQL) is the programming language used to manage structured data.

  2. en.wikipedia.org › wiki › E-textE-text - Wikipedia

    e-text (from "electronic text"; sometimes written as etext) is a general term for any document that is read in digital form, and especially a document that is mainly text. For example, a computer-based book of art with minimal text, or a set of photographs or scans of pages, would not usually be called an "e-text

  3. 28 sie 2024 · Data structures are the fundamental building blocks of computer programming. They define how data is organized, stored, and manipulated within a program. Understanding data structures is very important for developing efficient and effective algorithms.

  4. 10 wrz 2024 · This article will define data structures, explore the different types of data structures, data structure classification, and how data structures are applied. We’ll even delve into concepts like the linear data structure and the nonlinear data structure.

  5. Electronic text refers to text data that is in a digital format and can come in various forms such as proper language, slang, shorthand, comments, and database entries. It can be processed by textual disambiguation tools to extract meaningful information. AI generated definition based on: Data Architecture (Second Edition), 2019. About this page.

  6. 21 paź 2020 · Definition: What is Text Analysis? Text Analysis is the process of analysing unstructured and semi-structured text data for valuable insights, trends and patterns.

  7. Structured data is data that has a standardized format for efficient access by software and humans alike. It is typically tabular with rows and columns that clearly define data attributes. Computers can effectively process structured data for insights due to its quantitative nature.

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