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  2. 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 ...

  3. Data warehouse appliance - Wikipedia

    en.wikipedia.org/wiki/Data_warehouse_appliance

    "Data warehouse appliance" is a term coined by Foster Hinshaw, [1] [2] the founder of Netezza.In creating the first data warehouse appliance, Hinshaw and Netezza used the foundations developed by Model 204, Teradata, and others, to pioneer a new category to address consumer analytics efficiently by providing a modular, scalable, easy-to-manage database system that’s cost effective.

  4. Data mart - Wikipedia

    en.wikipedia.org/wiki/Data_mart

    Data Warehouse and Data Mart overview, with Data Marts shown in the top right.. A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse and is usually oriented to a specific business line or team.

  5. Aggregate (data warehouse) - Wikipedia

    en.wikipedia.org/wiki/Aggregate_(data_warehouse)

    In 1996, Ralph Kimball, who is widely regarded as one of the original architects of data warehousing, stated: [3] The single most dramatic way to affect performance in a large data warehouse is to provide a proper set of aggregate (summary) records that coexist with the primary base records.

  6. Fact table - Wikipedia

    en.wikipedia.org/wiki/Fact_table

    In data warehousing, a fact table consists of the measurements, metrics or facts of a business process. It is located at the center of a star schema or a snowflake schema surrounded by dimension tables. Where multiple fact tables are used, these are arranged as a fact constellation schema.

  7. 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. It helps improve productivity, reduce cost ...

  8. HuffPost Data

    data.huffingtonpost.com

    HuffPost Data Visualization, analysis, interactive maps and real-time graphics. Browse, copy and fork our open-source software.; Remix thousands of aggregated polling results.

  9. Netezza - Wikipedia

    en.wikipedia.org/wiki/Netezza

    Netezza Massive Parallel Processing Data Warehouse Appliance. IBM Netezza (pronounced ne-teez-a) is a subsidiary of American technology company IBM that designs and markets high-performance data warehouse appliances and advanced analytics applications for the most demanding analytic uses including enterprise data warehousing, business intelligence, predictive analytics and business continuity ...

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