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Microsoft Azure, or just Azure (/ˈæʒər, ˈeɪʒər/ AZH-ər, AY-zhər, UK also /ˈæzjʊər, ˈeɪzjʊər/ AZ-ure, AY-zure), [5] [6] [7] is the cloud computing platform developed by Microsoft. It has management, access and development of applications and services to individuals, companies, and governments through its global infrastructure.
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]
azure.microsoft.com /en-us /services /stream-analytics /. Microsoft Azure Stream Analytics is a serverless scalable complex event processing engine by Microsoft that enables users to develop and run real-time analytics on multiple streams of data from sources such as devices, sensors, web sites, social media, and other applications. [1]
Microsoft Azure SQL Database (formerly known as SQL Azure, SQL Server Data Services, SQL Services, and Windows Azure SQL Database) is a managed cloud database (PaaS) cloud-based Microsoft SQL Servers, provided as part of Microsoft Azure services. The service handles database management functions for cloud based Microsoft SQL Servers including ...
Azure 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. Unlike traditional relational databases, Cosmos DB is a NoSQL (meaning "Not only SQL", rather than "zero SQL") and vector ...
The Azure Data team in Belgrade is proud to own and develop the product called Managed Instance from the beginning to the end. Azure Synapse Analytics is the leading MDCS's modern service for data storage used by everybody, from individual programmers to the world's top companies.
e. In computing, extract, transform, load (ETL) is a three-phase process where data is extracted from an input source, transformed (including cleaning), and loaded into an output data container. The data can be collated from one or more sources and it can also be output to one or more destinations. ETL processing is typically executed using ...
There are various interpretations of HTAP other than Gartner's original definition; an "emerging architecture". These interpretations suggest different advantages, one being a database functionality.