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  2. Microsoft Azure SQL Database - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

    Azure SQL Database supports multi-modal storage of structured, semi-structured, and non-relational data. [2] Azure SQL Database includes built-in intelligence that learns app patterns and adapts them to maximize performance, reliability, and data protection. Key capabilities include: Learning of the host app's data access patterns, adaptive ...

  3. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    In Azure Data Explorer, unlike a typical relational database management systems (RDBMS), there are no constraints like key uniqueness, primary and foreign key. [26] The necessary relationships are established at the query time. [27] The data in Azure Data Explorer generally follows this pattern: [28] Creating Database, Ingesting data, Query the ...

  4. Cosmos DB - Wikipedia

    en.wikipedia.org/wiki/Cosmos_DB

    Azure Cosmos DB is a globally distributed, multi-model database service offered by Microsoft.It is designed to provide high availability, scalability, and low-latency access to data for modern applications.

  5. Azure Cognitive Search - Wikipedia

    en.wikipedia.org/wiki/Azure_Cognitive_Search

    Azure offers both the platform via web interface (Platform as a Service) and the hardware via virtual servers allocated to Azure accounts for data storage and processing (Infrastructure as a Service). [5] Azure Search resides within the Microsoft IaaS and PaaS suite as a service, I.E. Search as a Service (SaaS).

  6. Azure Data Lake - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Lake

    Azure Data Lake service was released on November 16, 2016. It is based on COSMOS, [2] which is used to store and process data for applications such as Azure, AdCenter, Bing, MSN, Skype and Windows Live.

  7. 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 ).

  8. Data definition language - Wikipedia

    en.wikipedia.org/wiki/Data_definition_language

    In the context of SQL, data definition or data description language (DDL) is a syntax for creating and modifying database objects such as tables, indices, and users. DDL statements are similar to a computer programming language for defining data structures, especially database schemas. Common examples of DDL statements include CREATE, ALTER ...

  9. Entity Framework - Wikipedia

    en.wikipedia.org/wiki/Entity_framework

    The logical schema and its mapping with the physical schema is represented as an Entity Data Model (EDM), specified as an XML file. ADO.NET Entity Framework uses the EDM to actually perform the mapping letting the application work with the entities, while internally abstracting the use of ADO.NET constructs like DataSet and RecordSet .