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  2. 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 ]

  3. Databricks - Wikipedia

    en.wikipedia.org/wiki/Databricks

    Databricks, Inc. is a global data, analytics, and artificial intelligence (AI) company, founded in 2013 by the original creators of Apache Spark. [1] [4] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.

  4. Star schema - Wikipedia

    en.wikipedia.org/wiki/Star_schema

    Consider a database of sales, perhaps from a store chain, classified by date, store and product. The image of the schema to the right is a star schema version of the sample schema provided in the snowflake schema article. Fact_Sales is the fact table and there are three dimension tables Dim_Date, Dim_Store and Dim_Product.

  5. Extract, transform, load - Wikipedia

    en.wikipedia.org/wiki/Extract,_transform,_load

    Ralph Kimball and Joe Caserta's book The Data Warehouse ETL Toolkit, (Wiley, 2004), which is used as a textbook for courses teaching ETL processes in data warehousing, addressed this issue. [ 12 ] Cloud-based data warehouses like Amazon Redshift , Google BigQuery , Microsoft Azure Synapse Analytics and Snowflake Inc. have been able to provide ...

  6. 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]

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  8. Sex, Drugs, and Murder in Tech Land - AOL

    www.aol.com/sex-drugs-murder-tech-land-110000748...

    The solution, which Lee single-handedly figured out, began with utilizing a “quantization algorithm” to precompute a color palette that would take up the fewest bits per pixel possible.

  9. Master data management - Wikipedia

    en.wikipedia.org/wiki/Master_data_management

    Often, solutions can be found that retain the integrity of the master data but allow users to access it in ways that suit their needs. For example, a salesperson may want to group products by size, color, or other attributes, while a purchasing officer may want to group products by supplier or country of origin.

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