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  2. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Clarivate Analytics, a global company that owns and operates a collection of subscription-based services focused largely on analytics; Cloudera, an American-based software company that provides Apache Hadoop-based software, support and services, and training to business customers; Compuverde, an IT company with a focus on big data storage

  3. 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.

  4. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Microsoft Azure uses large-scale virtualization at Microsoft data centers worldwide and offers more than 600 services. [11] Microsoft Azure offers a service level agreement (SLA) that guarantees 99.9% availability for applications and data hosted on its platform, subject to specific terms and conditions outlined in the SLA documentation.

  5. 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).

  6. Online analytical processing - Wikipedia

    en.wikipedia.org/wiki/Online_analytical_processing

    Mondrian OLAP server is an open-source OLAP server written in Java. It supports the MDX query language, the XML for Analysis and the olap4j interface specifications. Apache Doris is an open-source real-time analytical database based on MPP architecture.

  7. Here's a look at the 2024 stock performance in the computing foundations segment. Power infrastructure demands The exponential growth in AI computing creates unprecedented energy challenges.

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