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  2. Data as a service - Wikipedia

    en.wikipedia.org/wiki/Data_as_a_service

    Data as a service is a general term that encompasses data-related services. Now DaaS service providers are replacing traditional data analytics services or happily clustering with existing services to offer more value-addition to customers. The DaaS providers are curating, aggregating, analyzing multi-source data in order to provide additional ...

  3. 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).

  4. Infrastructure as a service - Wikipedia

    en.wikipedia.org/wiki/Infrastructure_as_a_service

    IaaS services are typically billed as a utility: cost reflects the amount of resources allocated or consumed. Typically, IaaS involves the use of a cloud orchestration technology such as OpenStack, Apache CloudStack, or OpenNebula. It manages the creation of a virtual machine (VM) and decides on the hypervisor (i.e. physical host) in order to ...

  5. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Azure Data Lake is a scalable data storage and analytic service for big data analytics workloads that require developers to run massively parallel queries. 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.

  6. Cloud computing - Wikipedia

    en.wikipedia.org/wiki/Cloud_computing

    These responsibilities vary depending on the cloud service model—Infrastructure as a Service (IaaS), Platform as a Service (PaaS), or Software as a Service (SaaS)—with customers typically having more control and responsibility in IaaS environments and progressively less in PaaS and SaaS models, often trading control for convenience and ...

  7. Azure Data Explorer - Wikipedia

    en.wikipedia.org/wiki/Azure_Data_Explorer

    Azure Data Explorer can ingest 200 MB per second per node. [14] Data Ingestion methods are pipelines and connectors to common services like Azure Event Grid or Azure Event Hub, [21] or programmatic ingestion using SDKs. Data visualization can be achieved using their native dashboard offering, or with tools like Power BI [21] [22] or Grafana ...

  8. Microsoft Azure SQL Database - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure_SQL_Database

    Azure SQL Database is built on the foundation of the SQL server database and therefore, kept in sync with the latest version [2] of it by using the common code base. Since the cloud version of the database technology strives to decouple it from the underlying computing infrastructure, it doesn't support some of the context specific T-SQL ...

  9. Microsoft Analysis Services - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Analysis_Services

    Microsoft SQL Server Analysis Services (SSAS [1]) is an online analytical processing (OLAP) and data mining tool in Microsoft SQL Server. SSAS is used as a tool by organizations to analyze and make sense of information possibly spread out across multiple databases, or in disparate tables or files.

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