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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. 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 ...

  4. Data preparation - Wikipedia

    en.wikipedia.org/wiki/Data_preparation

    Data should be consistent between different but related data records (e.g. the same individual might have different birthdates in different records or datasets). Where possible and economic, data should be verified against an authoritative source (e.g. business information is referenced against a D&B database to ensure accuracy). [3] [4]

  5. Data integrity - Wikipedia

    en.wikipedia.org/wiki/Data_integrity

    An example of a data-integrity mechanism is the parent-and-child relationship of related records. If a parent record owns one or more related child records all of the referential integrity processes are handled by the database itself, which automatically ensures the accuracy and integrity of the data so that no child record can exist without a parent (also called being orphaned) and that no ...

  6. Database testing - Wikipedia

    en.wikipedia.org/wiki/Database_testing

    The setup for database testing is costly and complex to maintain because database systems are constantly changing with expected insert, delete and update operations. Extra overhead is involved in order to determine the state of the database transactions. After cleaning up the database, new test cases have to be designed. [citation needed]

  7. DBM (computing) - Wikipedia

    en.wikipedia.org/wiki/DBM_(computing)

    The dbm library stores arbitrary data by use of a single key (a primary key) in fixed-size buckets and uses hashing techniques to enable fast retrieval of the data by key. The hashing scheme used is a form of extendible hashing , so that the hashing scheme expands as new buckets are added to the database, meaning that, when nearly empty, the ...

  8. AOL Mail

    mail.aol.com

    Get AOL Mail for FREE! Manage your email like never before with travel, photo & document views. Personalize your inbox with themes & tabs. You've Got Mail!

  9. Database model - Wikipedia

    en.wikipedia.org/wiki/Database_model

    This is the oldest form of database model. It was developed by IBM for IMS (information Management System), and is a set of organized data in tree structure. DB record is a tree consisting of many groups called segments. It uses one-to-many relationships, and the data access is also predictable. Network model; Relational model; Entity ...

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