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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    The datasets are classified, based on the licenses, as Open data and Non-Open data. The datasets from various governmental-bodies are presented in List of open government data sites. The datasets are ported on open data portals. They are made available for searching, depositing and accessing through interfaces like Open API. The datasets are ...

  3. Data set - Wikipedia

    en.wikipedia.org/wiki/Data_set

    Various plots of the multivariate data set Iris flower data set introduced by Ronald Fisher (1936). [1]A data set (or dataset) is a collection of data.In the case of tabular data, a data set corresponds to one or more database tables, where every column of a table represents a particular variable, and each row corresponds to a given record of the data set in question.

  4. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    SQL/T-SQL, R, Python: Offers graph database abilities to model many-to-many relationships. The graph relationships are integrated into Transact-SQL, and use SQL Server as the foundational database management system. [31] NebulaGraph: 3.7.0: 2024-03: Open Source Edition is under Apache 2.0, Common Clause 1.0: C++, Go, Java, Python

  5. List of in-memory databases - Wikipedia

    en.wikipedia.org/wiki/List_of_in-memory_databases

    GPU-accelerated, in-memory, distributed database for analytics. Functions like a RDBMS (structured data) for fast analytics on datasets in the hundreds of GBs to tens of TBs range. Interact with SQL and REST API. Geospatial objects and functions. UDF framework allows for custom code and machine learning workloads to run in-database. Received ...

  6. Data retrieval - Wikipedia

    en.wikipedia.org/wiki/Data_retrieval

    A query language, like for example Structured Query Language (SQL), is used to prepare the queries. SQL is an American National Standards Institute (ANSI) standardized query language developed specifically to write database queries. Each database management system may have its own language, but most are relational. [clarification needed]

  7. Hierarchical database model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_database_model

    The IBM Information Management System (IMS) and RDM Mobile are examples of a hierarchical database system with multiple hierarchies over the same data. The hierarchical data model lost traction as Codd 's relational model became the de facto standard used by virtually all mainstream database management systems.

  8. Database schema - Wikipedia

    en.wikipedia.org/wiki/Database_schema

    The database schema is the structure of a database described in a formal language supported typically by a relational database management system (RDBMS). The term " schema " refers to the organization of data as a blueprint of how the database is constructed (divided into database tables in the case of relational databases ).

  9. Data query language - Wikipedia

    en.wikipedia.org/wiki/Data_query_language

    Data query language (DQL) is part of the base grouping of SQL sub-languages. These sub-languages are mainly categorized into four categories: a data query language (DQL), a data definition language (DDL), a data control language (DCL), and a data manipulation language (DML).