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  2. GaussDB - Wikipedia

    en.wikipedia.org/wiki/GaussDB

    On July 1, 2020, Huawei released OpenGauss open source version of the relational database management system to the community under OpenAtom Foundation consortium in China and global markets. The platform supports DB instances of types, classes and backups with regions and projects using OpenStack resources with teams in departments.

  3. SQLAlchemy - Wikipedia

    en.wikipedia.org/wiki/SQLAlchemy

    SQLAlchemy is an open-source Python library that provides an SQL toolkit (called "SQLAlchemy Core") and an Object Relational Mapper (ORM) for database interactions. It allows developers to work with databases using Python objects, enabling efficient and flexible database access.

  4. Shard (database architecture) - Wikipedia

    en.wikipedia.org/wiki/Shard_(database_architecture)

    Horizontal partitioning splits one or more tables by row, usually within a single instance of a schema and a database server. It may offer an advantage by reducing index size (and thus search effort) provided that there is some obvious, robust, implicit way to identify in which partition a particular row will be found, without first needing to search the index, e.g., the classic example of the ...

  5. Alchemy (disambiguation) - Wikipedia

    en.wikipedia.org/wiki/Alchemy_(disambiguation)

    Alchemy (Adobe), Adobe software project Alchemy (processor), a series of embedded processors originally from Alchemy Semiconductor, later owned by multiple other semiconductor companies

  6. File:SQLAlchemy.svg - Wikipedia

    en.wikipedia.org/wiki/File:SQLAlchemy.svg

    This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from its original state, some details may not fully reflect the modified file.

  7. Machine learning - Wikipedia

    en.wikipedia.org/wiki/Machine_learning

    Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]