Data Warehouse Design (62 companies found)

At the highest level, designing a data warehouse involves creating, manipulating, and mapping models. These models are conceptual, logical, and physical (data) representations of the business and end-user information needs. Some models already exist in source systems and must be reverse engineered. Other models, such as those defining the data warehouse, are created from scratch. Creating a data warehouse requires designers to map data between source and target models, capturing the details of the transformation in a meta data repository. Tools that support these various modeling, mapping, and documentation activities are known as data warehouse design tools. Also see the DW Mapping and Transformation subcategory in Data Integration.

Refine results for Data Warehouse Design:

  • Stone Bond Technologies, LP.

    Stone Bond Technologies leads the way in Data Virtualization through products like Enterprise Enabler. We make an enterprise’s data agile providing new capabilities and insights to the whole organization from the data scientists to the front-line business users. Stone Bond’s customers have... Read More
  • DataSelf Corp.

    "DataSelf Analytics is an enterprise-level analytics platform designed for every business intelligence user at mid-sized companies from the CEO down. It’s self-service business intelligence at an SMB price. We start with the best technology, such as Tableau and Power BI for data discovery and...
  • Microsoft Corporation

    Microsoft is the leading platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more.
  • Ingenuite, Inc.

  • Skyline Technologies

  • Brite Systems Inc

  • Hi Caliber It Solutions

  • Metrics3, Llc

  • Tsp Consulting Services, Inc.

  • Micore Solutions