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2. 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.

3. 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 ...

4. Template:Microsoft Azure Services Platform - Wikipedia

   en.wikipedia.org/wiki/Template:Microsoft_Azure...

   To change this template's initial visibility, the |state= parameter may be used: {{Microsoft Azure Services Platform | state = collapsed}} will show the template collapsed, i.e. hidden apart from its title bar. {{Microsoft Azure Services Platform | state = expanded}} will show the template expanded, i.e. fully visible.

5. 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. COSMOS features a SQL-like query engine called SCOPE upon which U-SQL was built. [2]

6. Microsoft Azure - Wikipedia

   en.wikipedia.org/wiki/Microsoft_Azure

   Azure HDInsight [31] is a big data-relevant service that deploys Hortonworks Hadoop on Microsoft Azure and supports the creation of Hadoop clusters using Linux with Ubuntu. Azure Stream Analytics is a Serverless scalable event-processing engine that enables users to develop and run real-time analytics on multiple streams of data from sources ...

7. 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 ...