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2. Query optimization - Wikipedia

   en.wikipedia.org/wiki/Query_optimization

   Query optimization is a feature of many relational database management systems and other databases such as NoSQL and graph databases.The query optimizer attempts to determine the most efficient way to execute a given query by considering the possible query plans.

3. Microsoft Access - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Access

   With Microsoft's purchase of FoxPro in 1992 and the incorporation of Fox's Rushmore query optimization routines into Access, Microsoft Access quickly became the dominant database for Windows—effectively eliminating the competition which failed to transition from the MS-DOS world. [7]

4. Query plan - Wikipedia

   en.wikipedia.org/wiki/Query_plan

   Some query tools can generate embedded hints in the query, for use by the optimizer. Some databases - like Oracle - provide a plan table for query tuning. This plan table will return the cost and time for executing a query. Oracle offers two optimization approaches: CBO or Cost Based Optimization; RBO or Rule Based Optimization

5. Access Database Engine - Wikipedia

   en.wikipedia.org/wiki/Access_Database_Engine

   In Jet 3.0 onward these are then optimized using the Microsoft Rushmore query optimization technology. The query is then executed and the results passed back to the application or user who requested the data. Jet passes the data retrieved for the query in a dynaset. This is a set of data that is linked dynamically back to the database.

6. Relational algebra - Wikipedia

   en.wikipedia.org/wiki/Relational_algebra

   Query Optimization This paper is an introduction into the use of the relational algebra in optimizing queries, and includes numerous citations for more in-depth study. Relational Algebra System for Oracle and Microsoft SQL Server; Pireal – An experimental educational tool for working with Relational Algebra

7. Microsoft Query - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Query

   Microsoft Query is a visual method of creating database queries using examples based on a text string, the name of a document or a list of documents. The QBE system converts the user input into a formal database query using Structured Query Language (SQL) on the backend, allowing the user to perform powerful searches without having to explicitly compose them in SQL, and without even needing to ...