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  2. Data cleansing - Wikipedia

    en.wikipedia.org/wiki/Data_cleansing

    Data cleansing or data cleaning is the process of identifying and correcting (or removing) corrupt, inaccurate, or irrelevant records from a dataset, table, or database. It involves detecting incomplete, incorrect, or inaccurate parts of the data and then replacing, modifying, or deleting the affected data. [ 1 ]

  3. 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.

  4. Data sanitization - Wikipedia

    en.wikipedia.org/wiki/Data_sanitization

    Data sanitization methods are also applied for the cleaning of sensitive data, such as through heuristic-based methods, machine-learning based methods, and k-source anonymity. [ 2 ] This erasure is necessary as an increasing amount of data is moving to online storage, which poses a privacy risk in the situation that the device is resold to ...

  5. 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 ...

  6. Staging (data) - Wikipedia

    en.wikipedia.org/wiki/Staging_(data)

    Data cleansing includes identification and removal (or update) of invalid data from the source systems. The ETL process utilizing the staging area can be used to implement business logic to identify and handle "invalid" data. Invalid data is often defined through a combination of business rules and technical limitations.

  7. Data validation - Wikipedia

    en.wikipedia.org/wiki/Data_validation

    Advisory actions typically allow data to be entered unchanged but sends a message to the source actor indicating those validation issues that were encountered. This is most suitable for non-interactive system, for systems where the change is not business critical, for cleansing steps of existing data and for verification steps of an entry process.

  8. Best cutting-edge health and fitness tech from CES 2025 - AOL

    www.aol.com/news/best-cutting-edge-health...

    The Bebird EarSight Flow is an innovative ear care device that combines high-resolution imaging with advanced cleaning technology. ... using compatible Android and iOS apps to stream the real-time ...

  9. Data scrubbing - Wikipedia

    en.wikipedia.org/wiki/Data_scrubbing

    Data scrubbing reduces the likelihood that single correctable errors will accumulate, leading to reduced risks of uncorrectable errors. Data integrity is a high-priority concern in writing, reading, storage, transmission, or processing of data in computer operating systems and in computer storage and data transmission systems.

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