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  2. Referential integrity - Wikipedia

    en.wikipedia.org/wiki/Referential_integrity

    Referential integrity is a property of data stating that all its references are valid. In the context of relational databases , it requires that if a value of one attribute (column) of a relation (table) references a value of another attribute (either in the same or a different relation), then the referenced value must exist.

  3. Third normal form - Wikipedia

    en.wikipedia.org/wiki/Third_normal_form

    A database relation (e.g. a database table) is said to meet third normal form standards if all the attributes (e.g. database columns) are functionally dependent on solely a key, except the case of functional dependency whose right hand side is a prime attribute (an attribute which is strictly included into some key).

  4. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    Normalization splits up data to avoid redundancy (duplication) by moving commonly repeating groups of data into new tables. Normalization therefore tends to increase the number of tables that need to be joined in order to perform a given query, but reduces the space required to hold the data and the number of places where it needs to be updated if the data changes.

  5. 10 Critical Steps to Writing ChatGPT Prompts for Beginners - AOL

    www.aol.com/10-critical-steps-writing-chatgpt...

    Pull out any duplicate titles in this list and give me a copy of the list without duplicates: [Input data]. Create schema markup for a [FAQ] web page. Sanja Radin/Istockphoto

  6. Salesforce.com Takes a Shot at Oracle with New Database.com - AOL

    www.aol.com/2010/12/07/salesforce-com-takes-a...

    One of the best-performing stocks over the past six years has been Salesforce.com (CRM). During this time, its share price has gone from about $10 to $150, with a market cap now close to $20 billion.

  7. 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 ]

  8. How an AI granny is combating phone scams - AOL

    www.aol.com/ai-granny-combating-phone-scams...

    British mobile phone company O2 has unveiled an “AI granny” called Daisy who is helping combat fraud by wasting scammers’ time with long phone calls.

  9. Data redundancy - Wikipedia

    en.wikipedia.org/wiki/Data_redundancy

    The additional data can simply be a complete copy of the actual data (a type of repetition code), or only select pieces of data that allow detection of errors and reconstruction of lost or damaged data up to a certain level.