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  2. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    Azure Data Explorer is a fully-managed [1] big data analytics cloud platform [2] [3] and data-exploration service, [4] developed by Microsoft, [5] [6] that ingests structured, semi-structured (like JSON) and unstructured data (like free-text).

  3. Function as a service - Wikipedia

    en.wikipedia.org/wiki/Function_as_a_Service

    Function as a service (FaaS) is a category of cloud computing services that provides a platform allowing customers to develop, run, and manage application functionalities without the complexity of building and maintaining the infrastructure typically associated with developing and launching an app. [1] Building an application following this model is one way of achieving a "serverless ...

  4. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    This cluster is hosted at Microsoft's data centers and is responsible for managing computing and storage resources and allocating them to applications running on the Microsoft Azure platform. It is a "cloud layer" built upon various Windows Server systems, including the customized Microsoft Azure Hypervisor, which is based on Windows Server ...

  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. Data as a service - Wikipedia

    en.wikipedia.org/wiki/Data_as_a_service

    Vendors, such as MuleSoft, Oracle Cloud and Microsoft Azure, undertake development of DaaS that more rapidly computes large volumes of data; integrates and analyzes that data; and publish it in real-time, using Web service APIs that adhere to its REST architectural constraints (RESTful API).

  7. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    Cloud bursting is an application deployment model in which an application runs in a private cloud or data center and "bursts" to a public cloud when the demand for computing capacity increases. A primary advantage of cloud bursting and a hybrid cloud model is that an organization pays for extra compute resources only when they are needed. [ 76 ]

  8. Microsoft Power Platform - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Power_Platform

    Microsoft Power Platform is a collection of low-code development tools that allows users to build custom business applications, automate workflows, and analyze data. [1] [2] It also offers integration with GitHub, Microsoft Azure, Microsoft Dynamics 365, and Microsoft Teams, amongst other Microsoft and third-party applications.

  9. Cloud management - Wikipedia

    en.wikipedia.org/wiki/Cloud_management

    Because control of these functions is based on the cloud provider’s infrastructure and services, public cloud users must integrate with the cloud infrastructure management. [12] Capacity management is a challenge for both public and private cloud environments because end users have the ability to deploy applications using self-service portals ...