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  2. Data scraping - Wikipedia

    en.wikipedia.org/wiki/Data_scraping

    Because of this, tool kits that scrape web content were created. A web scraper is an API or tool to extract data from a website. [6] Companies like Amazon AWS and Google provide web scraping tools, services, and public data available free of cost to end-users. Newer forms of web scraping involve listening to data feeds from web servers.

  3. Data preparation - Wikipedia

    en.wikipedia.org/wiki/Data_preparation

    Data preparation is the first step in data analytics projects and can include many discrete tasks such as loading data or data ingestion, data fusion, data cleaning, data augmentation, and data delivery. [2] The issues to be dealt with fall into two main categories:

  4. Data extraction - Wikipedia

    en.wikipedia.org/wiki/Data_extraction

    Data extraction is the act or process of retrieving data out of (usually unstructured or poorly structured) data sources for further data processing or data storage (data migration). The import into the intermediate extracting system is thus usually followed by data transformation and possibly the addition of metadata prior to export to another ...

  5. Web scraping - Wikipedia

    en.wikipedia.org/wiki/Web_scraping

    Web scraping is the process of automatically mining data or collecting information from the World Wide Web. It is a field with active developments sharing a common goal with the semantic web vision, an ambitious initiative that still requires breakthroughs in text processing, semantic understanding, artificial intelligence and human-computer interactions.

  6. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Extract, transform, load (ETL) is a three-phase computing process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collected from one or more sources and it can also be output to one or more destinations.

  7. Information extraction - Wikipedia

    en.wikipedia.org/wiki/Information_extraction

    Structured data is semantically well-defined data from a chosen target domain, interpreted with respect to category and context. Information extraction is the part of a greater puzzle which deals with the problem of devising automatic methods for text management, beyond its transmission, storage and display.

  8. Data curation - Wikipedia

    en.wikipedia.org/wiki/Data_curation

    The user, rather than the database itself, typically initiates data curation and maintains metadata. [8] According to the University of Illinois' Graduate School of Library and Information Science, "Data curation is the active and on-going management of data through its lifecycle of interest and usefulness to scholarship, science, and education; curation activities enable data discovery and ...

  9. Data mining - Wikipedia

    en.wikipedia.org/wiki/Data_mining

    The manual extraction of patterns from data has occurred for centuries. Early methods of identifying patterns in data include Bayes' theorem (1700s) and regression analysis (1800s). [13] The proliferation, ubiquity and increasing power of computer technology have dramatically increased data collection, storage, and manipulation ability.