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  2. Schema-agnostic databases - Wikipedia

    en.wikipedia.org/wiki/Schema-agnostic_Databases

    Schema-agnosticism is the property of a database of mapping a query issued with the user terminology and structure, automatically mapping it to the dataset vocabulary. The increase in the size and in the semantic heterogeneity of database schemas bring new requirements for users querying and searching structured data .

  3. Agnostic (data) - Wikipedia

    en.wikipedia.org/wiki/Agnostic_(data)

    Devices and programs [6] can become more data-agnostic by using a generic storage format to create, read, update and delete files. Formats like XML and JSON can store information in a data agnostic manner. For example, XML is data agnostic in that it can save any type of information. However, if you use Data Transform Definitions (DTD) or XML ...

  4. Data Version Control (software) - Wikipedia

    en.wikipedia.org/wiki/Data_Version_Control...

    DVC is a free and open-source, platform-agnostic version system for data, machine learning models, and experiments. [1] It is designed to make ML models shareable, experiments reproducible, [2] and to track versions of models, data, and pipelines. [3] [4] [5] DVC works on top of Git repositories [6] and cloud storage. [7]

  5. List of platform-independent GUI libraries - Wikipedia

    en.wikipedia.org/wiki/List_of_platform...

    This is a list of notable library packages implementing a graphical user interface (GUI) platform-independent GUI library (PIGUI). These can be used to develop software that can be ported to multiple computing platforms with no change to its source code.

  6. Database abstraction layer - Wikipedia

    en.wikipedia.org/wiki/Database_abstraction_layer

    An example of a database abstraction layer on the language level would be ODBC that is a platform-independent implementation of a database abstraction layer. The user installs specific driver software, through which ODBC can communicate with a database or set of databases. The user then has the ability to have programs communicate with ODBC ...

  7. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    The default maximum RUs that can be provisioned per database and per container are 1,000,000 RUs, but customers can get this limit increased by contacting customer support. As an example of costing, using a single region instance, a count of 1,000,000 records of 1k each in 5s requires 1,000,000 RUs At $0.008/ h , which would equal $800 .

  8. Galaxy (computational biology) - Wikipedia

    en.wikipedia.org/wiki/Galaxy_(computational_biology)

    The platform itself is actually domain agnostic and can be applied, in theory, to any scientific domain, such as cheminformatics. [7] For example, Galaxy servers exist for image analysis , [ 8 ] computational chemistry [ 9 ] and drug design, [ 10 ] cosmology, climate modeling, social science, [ 11 ] and linguistics.

  9. ZENworks - Wikipedia

    en.wikipedia.org/wiki/ZENworks

    The initial ZENworks products had a tight integration with Novell Directory Service (NDS). With the release of ZENworks Configuration Management 10 (2007) the product architecture completely changed, the product became directory agnostic and ZENworks Suite products were integrated into a single management framework.