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  2. Microsoft Azure - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Azure

    Azure HDInsight [30] 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 ...

  3. 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). [7][8][9][10] The service then stores this data and answers analytic ad hoc queries on it with seconds ...

  4. Mark Russinovich - Wikipedia

    en.wikipedia.org/wiki/Mark_Russinovich

    Website. markrussinovich.com. Mark Eugene Russinovich (born December 22, 1966) is a Spanish-born American software engineer and author who serves as CTO of Microsoft Azure. He was a cofounder of software producers Winternals before Microsoft acquired it in 2006.

  5. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    Website. databricks.com. Databricks, Inc. is a global data, analytics and artificial intelligence company founded by the original creators of Apache Spark. [3] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models. [4]

  6. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Data engineering. Data engineering refers to the building of systems to enable the collection and usage of data. This data is usually used to enable subsequent analysis and data science, which often involves machine learning. [1][2] Making the data usable usually involves substantial compute and storage, as well as data processing.

  7. Site reliability engineering - Wikipedia

    en.wikipedia.org/wiki/Site_reliability_engineering

    Site reliability engineering. Site reliability engineering (SRE) is a set of principles and practices that applies aspects of software engineering to IT infrastructure and operations. [1] SRE aims to create highly reliable and scalable IT systems. Although they are closely related, SRE is slightly different from DevOps. [2][3][4]

  8. Jaime Teevan - Wikipedia

    en.wikipedia.org/wiki/Jaime_Teevan

    From 2017 to 2018, Teevan served as Technical Adviser to Microsoft CEO Satya Nadella. [6] She is currently Microsoft's Chief Scientist and was inaugurated as a Microsoft Technical Fellow in 2022. [7] As Microsoft has doubled down on AI-driven products and integrated research more tightly into Microsoft products, Jaime has been one of the key ...

  9. Data science - Wikipedia

    en.wikipedia.org/wiki/Data_science

    Data science is an interdisciplinary field [ 10 ] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...