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  2. Snowflake schema - Wikipedia

    en.wikipedia.org/wiki/Snowflake_schema

    The snowflake schema is in the same family as the star schema logical model. In fact, the star schema is considered a special case of the snowflake schema. The snowflake schema provides some advantages over the star schema in certain situations, including: Some OLAP multidimensional database modeling tools are optimized for snowflake schemas. [3]

  3. Snowflake (software) - Wikipedia

    en.wikipedia.org/wiki/Snowflake_(software)

    Snowflake provides covert, indirect access to Tor. [1] A Snowflake client is provided with the IP address of a currently-active Snowflake proxy by asking a broker server, [8] [22] which in turn uses domain fronting to pretend to be a major website. The client then talks directly to the Snowflake proxy, which relays into the Tor network.

  4. 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 ]

  5. File:Snowflakes-tobefree.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Snowflakes-tobefree.pdf

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Pages for logged out editors learn more

  6. Snowflake ID - Wikipedia

    en.wikipedia.org/wiki/Snowflake_ID

    Twitter uses snowflake IDs for tweets, direct messages, users, lists, and all other objects available over the API. [7] Discord also uses snowflakes, with their epoch set to the first second of the year 2015. [3] Instagram uses a modified version of the format, with 41 bits for a timestamp, 13 bits for a shard ID, and 10 bits for a sequence ...

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  8. Early-arriving fact - Wikipedia

    en.wikipedia.org/wiki/Early-arriving_fact

    In the data warehouse practice of extract, transform, load (ETL), an early fact or early-arriving fact, [1] also known as late-arriving dimension or late-arriving data, [2] denotes the detection of a dimensional natural key during fact table source loading, prior to the assignment of a corresponding primary key or surrogate key in the dimension table.

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