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  2. Snowflake Inc. - Wikipedia

    en.wikipedia.org/wiki/Snowflake_Inc.

    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] In May 2019, Frank Slootman, formerly CEO of ServiceNow, joined Snowflake as its CEO. [8]

  3. With $30 billion in lost market value and big shoes to fill ...

    www.aol.com/finance/30-billion-lost-market-value...

    A huge opportunity in the data space. Snowflake has also made headlines recently for rumored potential acquisitions, including a $1 billion deal for AI model developer Reka AI that has supposedly ...

  4. 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 ...

  5. Sridhar Ramaswamy - Wikipedia

    en.wikipedia.org/wiki/Sridhar_Ramaswamy

    He is the chief executive officer of cloud-based data-warehousing company Snowflake Inc. since February 2024. He was the cofounder and CEO of the startup company Neeva, an ad-free, privacy-focused search engine, until it was acquired by Snowflake. [1] [2] He previously led Google’s $115 billion advertising division. [1] [3]

  6. Cloud database - Wikipedia

    en.wikipedia.org/wiki/Cloud_database

    A cloud database is a database that typically runs on a cloud computing platform and access to the database is provided as-a-service. There are two common deployment models: users can run databases on the cloud independently, using a virtual machine image, or they can purchase access to a database service, maintained by a cloud database provider.

  7. Data lake - Wikipedia

    en.wikipedia.org/wiki/Data_lake

    Data lakehouses are a hybrid approach that can ingest a variety of raw data formats like a data lake, yet provide ACID transactions and enforce data quality like a data warehouse. [ 14 ] [ 15 ] A data lakehouse architecture attempts to address several criticisms of data lakes by adding data warehouse capabilities such as transaction support ...

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