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  2. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data visualization uses information displays (graphics such as, tables and charts) to help communicate key messages contained in the data. [46] Tables are a valuable tool by enabling the ability of a user to query and focus on specific numbers; while charts (e.g., bar charts or line charts), may help explain the quantitative messages contained ...

  3. Cloud analytics - Wikipedia

    en.wikipedia.org/wiki/Cloud_Analytics

    Cloud analytics is designed to make official statistical data readily categorized and available via the users web browser. The global Cloud Analytics Market size is expected to grow from USD 35.7 billion in 2024 to USD 118.5 billion in 2029, at a CAGR of 27.1% during the forecast period, according to a new report by MarketsandMarkets™.

  4. Usage share of operating systems - Wikipedia

    en.wikipedia.org/wiki/Usage_share_of_operating...

    Data from various sources published over the 2021/2022 period is summarized in the table below. All of these sources monitor a substantial number of websites, any statistics that relate to only one web site have been excluded. Android currently ranks highest, [63] above Windows (incl. Xbox console) systems.

  5. 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. [ 68 ]

  6. The State of AI: 35 Statistics and Facts for 2024 - AOL

    www.aol.com/state-ai-35-statistics-facts...

    The market for AI grew beyond $184 billion U.S. dollars in 2024, an increase of nearly $50 billion compared to 2023. This staggering growth is expected to continue with the market surpassing $826 ...

  7. TigerGraph - Wikipedia

    en.wikipedia.org/wiki/TigerGraph

    [1] [4] It is available using the cloud computing delivery model. [5] The analytics uses C++ based software and a parallel processing engine to process algorithms and queries. [1] It has its own graph query language that is similar to SQL.

  8. Graph database - Wikipedia

    en.wikipedia.org/wiki/Graph_database

    Aerospike Graph is a highly scalable, low-latency property graph database built on Aerospike’s proven real-time data platform. Aerospike Graph combines the enterprise capabilities of the Aerospike Database - the most scalable real-time NoSQL database - with the property graph data model via the Apache Tinkerpop graph compute engine.

  9. Snowflake Inc. - Wikipedia

    en.wikipedia.org/wiki/Snowflake_Inc.

    Snowflake Inc. is an American cloud-based data storage company. Headquartered in Bozeman, Montana, it operates a platform that allows for data analysis and simultaneous access of data sets with minimal latency. [1] It operates on Amazon Web Services, Microsoft Azure, and Google Cloud Platform.