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  2. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  3. Oracle CRM - Wikipedia

    en.wikipedia.org/wiki/Oracle_CRM

    Oracle CRM is a customer relationship management system created by Oracle Corporation. [1] It includes a number of different cloud applications that can be deployed together or used individually to analyze customer data and help companies connect and manage sales, marketing, and customer support.

  4. Customer relationship management - Wikipedia

    en.wikipedia.org/wiki/Customer_relationship...

    The role of analytical CRM systems is to analyze customer data collected through multiple sources and present it so that business managers can make more informed decisions. [24] Analytical CRM systems use techniques such as data mining, correlation, and pattern recognition to analyze customer data.

  5. Comparison of relational database management systems - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_relational...

    An SQL schema is simply a namespace within a database; things within this namespace are addressed using the member operator dot ".". This seems to be a universal among all of the implementations. A true fully (database, schema, and table) qualified query is exemplified as such: SELECT * FROM database. schema. table

  6. Relational schema - Wikipedia

    en.wikipedia.org/wiki/Relational_schema

    The term "schema" refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases). The formal definition of a database schema is a set of formulas (sentences) called integrity constraints imposed on a database.

  7. Single source of truth - Wikipedia

    en.wikipedia.org/wiki/Single_source_of_truth

    In information science and information technology, single source of truth (SSOT) architecture, or single point of truth (SPOT) architecture, for information systems is the practice of structuring information models and associated data schemas such that every data element is mastered (or edited) in only one place, providing data normalization to ...

  8. Anchor modeling - Wikipedia

    en.wikipedia.org/wiki/Anchor_Modeling

    Unlike the star schema (dimensional modelling) and the classical relational model (3NF), data vault and anchor modeling are well-suited for capturing changes that occur when a source system is changed or added, but are considered advanced techniques which require experienced data architects. [2]

  9. Data integration - Wikipedia

    en.wikipedia.org/wiki/Data_integration

    A database over a schema is defined as a set of sets, one for each relation (in a relational database). The database corresponding to the source schema would comprise the set of sets of tuples for each of the heterogeneous data sources and is called the source database. Note that this single source database may actually represent a collection ...