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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 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 ]

  4. Snowflake ID - Wikipedia

    en.wikipedia.org/wiki/Snowflake_ID

    Snowflake IDs, or snowflakes, are a form of unique identifier used in distributed computing. The format was created by Twitter (now X) and is used for the IDs of tweets. [ 1 ] It is popularly believed that every snowflake has a unique structure, so they took the name "snowflake ID".

  5. Snowflake (software) - Wikipedia

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

    A Snowflake proxy runs whenever the browser or program is connected to the internet. If the proxy host has a dynamic IP, the proxy will change its IP address over time. [10] [8] See also ad hoc network. Snowflake proxies are thus used as Tor entry nodes, not as exit nodes. Exit nodes are the other end of the chain.

  6. Data build tool - Wikipedia

    en.wikipedia.org/wiki/Data_build_tool

    It started at RJMetrics in 2016 as a solution to add basic transformation capabilities to Stitch (acquired by Talend in 2018). [3] The earliest versions of dbt allowed analysts to contribute to the data transformation process following the best practices of software engineering.

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  8. Information schema - Wikipedia

    en.wikipedia.org/wiki/Information_schema

    In relational databases, the information schema (information_schema) is an ANSI-standard set of read-only views that provide information about all of the tables, views, columns, and procedures in a database. [1]

  9. Data warehouse automation - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse_automation

    Data warehouse automation (DWA) refers to the process of accelerating and automating the data warehouse development cycles, while assuring quality and consistency. DWA is believed to provide automation of the entire lifecycle of a data warehouse, from source system analysis to testing to documentation.

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