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  2. Query Abstraction Layer - Wikipedia

    en.wikipedia.org/wiki/Query_Abstraction_Layer

    For SQL/RDBMS backends, it has a database abstraction layer that supports basic connectivity to Postgres, MySQL / MariaDB, IBM Db2, Oracle and MS SQL Server. [4] It uses XML formats (the SQL schema is self-generated) for representation of queries, transformation and merging, making it all processable by scripts. With regards to SQL, QAL uses a ...

  3. 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.

  4. 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 .

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    In other cases, one or more of the following transformation types may be required to meet the business and technical needs of the server or data warehouse: Selecting only certain columns to load: (or selecting null columns not to load). For example, if the source data has three columns (aka "attributes"), roll_no, age, and salary, then the ...

  6. Adapter pattern - Wikipedia

    en.wikipedia.org/wiki/Adapter_pattern

    The adapter [2] design pattern is one of the twenty-three well-known Gang of Four design patterns that describe how to solve recurring design problems to design flexible and reusable object-oriented software, that is, objects that are easier to implement, change, test, and reuse. The adapter design pattern solves problems like: [3]

  7. Join (SQL) - Wikipedia

    en.wikipedia.org/wiki/Join_(SQL)

    An inner join (or join) requires each row in the two joined tables to have matching column values, and is a commonly used join operation in applications but should not be assumed to be the best choice in all situations. Inner join creates a new result table by combining column values of two tables (A and B) based upon the join-predicate.

  8. Set operations (SQL) - Wikipedia

    en.wikipedia.org/wiki/Set_operations_(SQL)

    Set operations in SQL is a type of operations which allow the results of multiple queries to be combined into a single result set. [1] Set operators in SQL include UNION, INTERSECT, and EXCEPT, which mathematically correspond to the concepts of union, intersection and set difference.

  9. Data access object - Wikipedia

    en.wikipedia.org/wiki/Data_Access_Object

    By mapping application calls to the persistence layer, the DAO provides data operations without exposing database details. This isolation supports the single responsibility principle . It separates the data access the application needs, in terms of domain-specific objects and data types (the DAO's public interface), from how these needs can be ...