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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

    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 ...

  5. Wikipedia:Every snowflake is unique - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Every_snowflake...

    The major criterion to distinguish "snowflake" unique content from run-of-the-mill content is the "critical commentary" test: Has the item merited comments that suppose a value judgment or elaborate critique (i.e. information other than a routine description of its properties) by independent critics?

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  7. Help:Getting started - Wikipedia

    en.wikipedia.org/wiki/Help:Getting_started

    Introduction: our main tutorial to the core principles of how to edit contained in thirteen short modules (as listed below). The Wikipedia Adventure: a module-guided tour with fun, interactive learning, and practice. Your first article: an article that discusses some of the dos and don'ts, then shows you how to create an article.

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  9. Data engineering - Wikipedia

    en.wikipedia.org/wiki/Data_engineering

    Around the 1970s/1980s the term information engineering methodology (IEM) was created to describe database design and the use of software for data analysis and processing. [3] [4] These techniques were intended to be used by database administrators (DBAs) and by systems analysts based upon an understanding of the operational processing needs of organizations for the 1980s.

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