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Oracle 7.3 7.3.0 February 1996 7.3.4 Object-relational database Oracle 7.2 7.2.0 May 1995 Shared Server, XA Transactions, Transparent Application Failover Oracle 7.1 7.1.0 May 1994 Parallel SQL Execution. First version available for Windows NT. [25]
Extend MongoDB platform support up to version 3.6; Support for repository on Windows Server 2016 OS; Multiple bug fixes; Version 18.0: [8] Enhancements and bug fixes including: Selectable SQL Server driver for Forward and Reverse Engineering; Oracle 12cR2 has been certified as a deployment platform for the DA Professional repository
Oracle SQL Developer supports Oracle products. In the past a variety of third-party plugins were supported which users were able to deploy to connect to non-Oracle databases. Oracle SQL Developer worked with IBM Db2, Microsoft Access, Microsoft SQL Server, MySQL, Sybase Adaptive Server, Amazon Redshift and Teradata databases. [4]
To manage many databases and application servers (according to Oracle Corporation, preferably in a grid solution), the Oracle Enterprise Manager Grid Control can be used. . It can manage multiple instances of Oracle deployment platforms; the most recent edition also allows for management and monitoring of other platforms such as Microsoft .NET, Microsoft SQL Server, NetApp filers, BEA Weblogic ...
Oracle Designer was initially based around a database that held design models, called a repository, not to be confused with a modern GIT repository ( A dictionary definition of a repository is a safe central place where things are stored). Later the Oracle Designer Repository included models and code, but always stored in an Oracle Database.
Knowledge management products adopted the term "knowledge-base" to describe their repositories but the meaning had a big difference. In the case of previous knowledge-based systems, the knowledge was primarily for the use of an automated system, to reason about and draw conclusions about the world.
Knowledge extraction is the creation of knowledge from structured (relational databases, XML) and unstructured (text, documents, images) sources. The resulting knowledge needs to be in a machine-readable and machine-interpretable format and must represent knowledge in a manner that facilitates inferencing.
SQL was initially developed at IBM by Donald D. Chamberlin and Raymond F. Boyce after learning about the relational model from Edgar F. Codd [12] in the early 1970s. [13] This version, initially called SEQUEL (Structured English Query Language), was designed to manipulate and retrieve data stored in IBM's original quasirelational database management system, System R, which a group at IBM San ...