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  2. Snowflake Inc. - Wikipedia

    en.wikipedia.org/wiki/Snowflake_Inc.

    In October 2014, Snowflake came out of stealth mode; at that time it was used by 80 organizations. [3] [4] Snowflake has run on Amazon Web Services since 2014, [5] [6] on Microsoft Azure since 2018, [7] and on the Google Cloud Platform since 2019. [8] [9] In June 2015, Snowflake launched its first product, its cloud data warehouse. [10]

  3. Here's How Much Snowflake Spent on Research and ... - AOL

    www.aol.com/finance/heres-much-snowflake-spent...

    The data specialist is trying to manage its costs, but developing artificial intelligence (AI) isn't cheap. Here's How Much Snowflake Spent on Research and Development Last Quarter Skip to main ...

  4. Educational data mining - Wikipedia

    en.wikipedia.org/wiki/Educational_data_mining

    While the analysis of educational data is not itself a new practice, recent advances in educational technology, including the increase in computing power and the ability to log fine-grained data about students' use of a computer-based learning environment, have led to an increased interest in developing techniques for analyzing the large amounts of data generated in educational settings.

  5. Data warehouse - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse

    Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...

  6. Here's How Much Snowflake Spent on Research and ... - AOL

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  7. Data mart - Wikipedia

    en.wikipedia.org/wiki/Data_mart

    Data Warehouse and Data Mart overview, with Data Marts shown in the top right.. A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse that focuses on a specific business line, department, subject area, or team. [1]

  8. BigQuery - Wikipedia

    en.wikipedia.org/wiki/BigQuery

    BigQuery is a managed, serverless data warehouse product by Google, offering scalable analysis over large quantities of data. It is a Platform as a Service that supports querying using a dialect of SQL. It also has built-in machine learning capabilities. BigQuery was announced in May 2010 and made generally available in November 2011.

  9. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    The star schema is an important special case of the snowflake schema, and is more effective for handling simpler queries. [ 2 ] The star schema gets its name from the physical model's [ 3 ] resemblance to a star shape with a fact table at its center and the dimension tables surrounding it representing the star's points.

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