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  2. Savepoint - Wikipedia

    en.wikipedia.org/wiki/Savepoint

    Savepoints are defined in the SQL standard and are supported by all established SQL relational databases, including PostgreSQL, Oracle Database, Microsoft SQL Server, MySQL, IBM Db2, SQLite (since 3.6.8), Firebird, H2 Database Engine, and Informix (since version 11.50xC3).

  3. Tabular Data Stream - Wikipedia

    en.wikipedia.org/wiki/Tabular_Data_Stream

    Tabular Data Stream (TDS) is an application layer protocol used to transfer data between a database server and a client. It was initially designed and developed by Sybase Inc. for their Sybase SQL Server relational database engine in 1984, and later by Microsoft in Microsoft SQL Server.

  4. Database abstraction layer - Wikipedia

    en.wikipedia.org/wiki/Database_abstraction_layer

    A database abstraction layer (DBAL [1] or DAL) is an application programming interface which unifies the communication between a computer application and databases such as SQL Server, IBM Db2, MySQL, PostgreSQL, Oracle or SQLite. Traditionally, all database vendors provide their own interface that is tailored to their products.

  5. Microsoft SQL Server - Wikipedia

    en.wikipedia.org/wiki/Microsoft_SQL_Server

    Microsoft SQL Server (Structured Query Language) is a proprietary relational database management system developed by Microsoft.As a database server, it is a software product with the primary function of storing and retrieving data as requested by other software applications—which may run either on the same computer or on another computer across a network (including the Internet).

  6. Toad (software) - Wikipedia

    en.wikipedia.org/wiki/Toad_(software)

    Toad is a database management toolset from Quest Software for managing relational and non-relational databases using SQL aimed at database developers, database administrators, and data analysts. The Toad toolset runs against Oracle, SQL Server, IBM DB2 (LUW & z/OS), SAP and MySQL. A Toad product for data preparation supports many data platforms.

  7. Single source of truth - Wikipedia

    en.wikipedia.org/wiki/Single_source_of_truth

    Database normalization, technique for designing tables in relational databases such that duplication of information is minimised; Single version of the truth, ideal where all the data of an organisation is stored in a consistent and non-redundant form; Single version of facts, concept in data vault

  8. Materialized view - Wikipedia

    en.wikipedia.org/wiki/Materialized_view

    In computing, a materialized view is a database object that contains the results of a query.For example, it may be a local copy of data located remotely, or may be a subset of the rows and/or columns of a table or join result, or may be a summary using an aggregate function.

  9. Relational model - Wikipedia

    en.wikipedia.org/wiki/Relational_model

    A table in a SQL database schema corresponds to a predicate variable; the contents of a table to a relation; key constraints, other constraints, and SQL queries correspond to predicates. However, SQL databases deviate from the relational model in many details, and Codd fiercely argued against deviations that compromise the original principles. [3]