Query by Model - vertaling naar russisch
Diclib.com
Woordenboek ChatGPT
Voer een woord of zin in in een taal naar keuze 👆
Taal:

Vertaling en analyse van woorden door kunstmatige intelligentie ChatGPT

Op deze pagina kunt u een gedetailleerde analyse krijgen van een woord of zin, geproduceerd met behulp van de beste kunstmatige intelligentietechnologie tot nu toe:

  • hoe het woord wordt gebruikt
  • gebruiksfrequentie
  • het wordt vaker gebruikt in mondelinge of schriftelijke toespraken
  • opties voor woordvertaling
  • Gebruiksvoorbeelden (meerdere zinnen met vertaling)
  • etymologie

Query by Model - vertaling naar russisch

DEVISED BY MOSHÉ M. ZLOOF AT IBM RESEARCH DURING THE MID-1970S
Query-by-Example; Query By Example; Query-by-example; Query by example
  • Example of QBE query with joins, designed in Borland's [[Paradox database]]

Query by Model      
см. QBM
Query-By-Example         

общая лексика

запрос по образцу, язык запросов по образцу, язык QBE

простой язык запросов, основанный на заполнении пользователем экранной формы. Разработан в IBM в 1975 г. Используется в реляционных СУБД для поиска информации

синоним

QBE

Смотрите также

DBMS; RDBMS

query by example         
запрос по образцу

Definitie

ЛАЗЕР
1. пучок света луч, получаемый при помощи такого генератора.
Лечение лазером. Сварка лазером.
2. оптический квантовый генератор, устройство для получения мощных узаконаправленных пучков света.
Импульсный л. Л. непрерывного действия.

Wikipedia

Query by Example

Query by Example (QBE) is a database query language for relational databases. It was devised by Moshé M. Zloof at IBM Research during the mid-1970s, in parallel to the development of SQL. It is the first graphical query language, using visual tables where the user would enter commands, example elements and conditions. Many graphical front-ends for databases use the ideas from QBE today. Originally limited only for the purpose of retrieving data, QBE was later extended to allow other operations, such as inserts, deletes and updates, as well as creation of temporary tables.

The motivation behind QBE is that a parser can convert the user's actions into statements expressed in a database manipulation language, such as SQL. Behind the scenes, it is this statement that is actually executed. A suitably comprehensive front-end can minimize the burden on the user to remember the finer details of SQL, and it is easier and more productive for end-users (and even programmers) to select tables and columns by selecting them rather than typing in their names.

In the context of information retrieval, QBE has a somewhat different meaning. The user can submit a document, or several documents, and ask for "similar" documents to be retrieved from a document database [see search by multiple examples]. Similarity search is based comparing document vectors (see Vector Space Model).

QBE represents seminal work in end-user development, frequently cited in research papers as an early example of this topic.

Currently, QBE is supported in several relational database front ends, notably Microsoft Access, which implements "Visual Query by Example", as well as Microsoft SQL Server Enterprise Manager. It is also implemented in several object-oriented databases (e.g. in db4o).

QBE is based on the logical formalism called tableau query, although QBE adds some extensions to that, much like SQL is based on the relational algebra.

Vertaling van &#39Query by Model&#39 naar Russisch