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  2. Full-text search - Wikipedia

    en.wikipedia.org/wiki/Full-text_search

    In text retrieval, full-text search refers to techniques for searching a single computer-stored document or a collection in a full-text database. Full-text search is distinguished from searches based on metadata or on parts of the original texts represented in databases (such as titles, abstracts, selected sections, or bibliographical references).

  3. Résumé - Wikipedia

    en.wikipedia.org/wiki/Résumé

    In 2001 LinkedIn was launched, which allowed users to post their resumes and skills online. [9] Since, many SaaS companies began providing job seekers with free online résumé builders; usually templates to insert credentials and experience and create a résumé to download or an online portfolio link to share via social media.

  4. Curriculum vitae - Wikipedia

    en.wikipedia.org/wiki/Curriculum_vitae

    Example of the type of extensive CV used in academia, in this case 69 pages long. In English, a curriculum vitae (English: / ... ˈ v iː t aɪ,-ˈ w iː t aɪ,-ˈ v aɪ t iː /, [a] [1] [2] [3] Latin for 'course of life', often shortened to CV) is a short written summary of a person's career, qualifications, and education.

  5. Full-text database - Wikipedia

    en.wikipedia.org/wiki/Full-text_database

    A full-text database or a complete-text database is a database that contains the complete text of books, dissertations, journals, magazines, newspapers or other kinds of textual documents. They differ from bibliographic databases (which contain only bibliographical metadata , including abstracts in some cases) and non-bibliographic databases ...

  6. MongoDB - Wikipedia

    en.wikipedia.org/wiki/MongoDB

    MongoDB is a source-available, cross-platform, document-oriented database program. Classified as a NoSQL database product, MongoDB utilizes JSON -like documents with optional schemas . Released in February 2009 by 10gen (now MongoDB Inc. ), it supports features like sharding , replication , and ACID transactions (from version 4.0).

  7. Document-oriented database - Wikipedia

    en.wikipedia.org/wiki/Document-oriented_database

    The central concept of a document-oriented database is the notion of a document.While each document-oriented database implementation differs on the details of this definition, in general, they all assume documents encapsulate and encode data (or information) in some standard format or encoding.

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