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  2. Master data management - Wikipedia

    en.wikipedia.org/wiki/Master_data_management

    This model identifies a single application, database, or simpler source (e.g. a spreadsheet) as being the "source of record" (or "system of record" where solely application databases are relied on). The benefit of this model is its conceptual simplicity, but it may not fit with the realities of complex master data distribution in large ...

  3. Change data capture - Wikipedia

    en.wikipedia.org/wiki/Change_data_capture

    More complicated designs might log the actual data that changed. This queue table could then be "played back" to replicate the data from the source system to a target. Data capture offers a challenge in that the structure, contents and use of a transaction log is specific to a database management system.

  4. Data redundancy - Wikipedia

    en.wikipedia.org/wiki/Data_redundancy

    In database systems [ edit ] While different in nature, data redundancy also occurs in database systems that have values repeated unnecessarily in one or more records or fields , within a table , or where the field is replicated/repeated in two or more tables.

  5. Shadow table - Wikipedia

    en.wikipedia.org/wiki/Shadow_table

    The database can send the whole transactions table. The database can send a shadow table that only contains the transactions involving the user that requested his/her transaction history. The second option is usually more favorable because it saves bandwidth and processing power on the user's end. It also keeps others' transaction data secure.

  6. Category:Database management systems - Wikipedia

    en.wikipedia.org/wiki/Category:Database...

    A database management system (DBMS) is a computer program (or more typically, a suite of them) designed to manage a database, a large set of structured data, and run operations on the data requested by numerous users. Typical examples of DBMS use include accounting, human resources and customer support systems.

  7. Denormalization - Wikipedia

    en.wikipedia.org/wiki/Denormalization

    With this approach, database administrators can keep the logical design normalized, but allow the database management system (DBMS) to store additional redundant information on disk to optimize query response. In this case it is the DBMS software's responsibility to ensure that any redundant copies are kept consistent.

  8. DBM (computing) - Wikipedia

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

    The name is a three-letter acronym for DataBase Manager, and can also refer to the family of database engines with APIs and features derived from the original dbm. 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.

  9. MonetDB - Wikipedia

    en.wikipedia.org/wiki/MonetDB

    MonetDB is an open-source column-oriented relational database management system (RDBMS) originally developed at the Centrum Wiskunde & Informatica (CWI) in the Netherlands.It is designed to provide high performance on complex queries against large databases, such as combining tables with hundreds of columns and millions of rows.