enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  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 mart - Wikipedia

    en.wikipedia.org/wiki/Data_mart

    A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse that focuses on a specific business line, department, subject area, or team. [1] Whereas data warehouses have an enterprise-wide depth, the information in data marts pertains to a single department.

  4. DATAllegro - Wikipedia

    en.wikipedia.org/wiki/DATAllegro

    DATAllegro was a company that specialized in data warehousing appliances. It was founded by Stuart Frost in 2003 inspired by and as a competitor to Data warehouse appliance pioneer Netezza. [1] DATAllegro - like Netezza - used open source software stack (Ingres DBMS running on Linux). Microsoft announced it had acquired DATAllegro as of ...

  5. Firebolt Analytics - Wikipedia

    en.wikipedia.org/wiki/Firebolt_Analytics

    Firebolt Analytics is a data software company, operating globally. Its main product is a cloud data warehousing platform for data engineers. Firebolt was founded and headquartered in Tel Aviv, Israel. [1] [2] [3]

  6. 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.

  7. Dimension (data warehouse) - Wikipedia

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

    A common data warehouse example involves sales as the measure, with customer and product as dimensions. In each sale a customer buys a product. The data can be sliced by removing all customers except for a group under study, and then diced by grouping by product. A dimensional data element is similar to a categorical variable in statistics.

  8. Third-party logistics - Wikipedia

    en.wikipedia.org/wiki/Third-party_logistics

    Logistics companies can benefit twofold from such an alliance. On the one hand, they can "access tangible resources which are directly exploitable". This includes extending common transportation networks, their warehouse infrastructure and the ability to provide more complex service packages by combining resources.

  9. List of big data companies - Wikipedia

    en.wikipedia.org/wiki/List_of_big_data_companies

    Alpine Data Labs, an analytics interface working with Apache Hadoop and big data; AvocaData, a two sided marketplace allowing consumers to buy & sell data with ease. Azure Data Lake is a highly scalable data storage and analytics service. The service is hosted in Azure, Microsoft's public cloud