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VIRTUAL DATA WAREHOUSE DATA SPECIFICATIONS Version 4.0 Updated February 2020INTRODUCTIONThe HCS RN\'s Virtual Data Warehouse (VOW) is a pioneering common data model designed to support multisite health
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To fill out a virtual data warehouse, follow these steps:
02
Identify the data sources that you want to integrate into your virtual data warehouse.
03
Determine the data schema and structure that will be used in the virtual data warehouse.
04
Extract data from the various sources and transform it into a format compatible with the virtual data warehouse schema.
05
Load the transformed data into the virtual data warehouse, ensuring data integrity and consistency.
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Implement any necessary data transformations or aggregations to provide the required analytics and reporting capabilities.
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Regularly update and refresh the data in the virtual data warehouse to ensure it remains up-to-date and accurate.

Who needs virtual data warehouse?

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Various organizations and businesses can benefit from using a virtual data warehouse:
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Companies with multiple data sources: Organizations that have data scattered across different systems, databases, or cloud platforms can use a virtual data warehouse to bring all the data together in one centralized location.
03
Data-driven businesses: Any business that heavily relies on data for decision-making, analytics, and reporting can benefit from a virtual data warehouse.
04
Business intelligence teams: Data analysts and business intelligence teams can use a virtual data warehouse to access and analyze data from multiple sources in a more efficient and streamlined manner.
05
Data integration projects: When undertaking data integration projects, a virtual data warehouse can help unify data from disparate sources, making it easier to manage and analyze.
06
Startups and small businesses: Virtual data warehouses offer a cost-effective solution for startups and small businesses that do not have the resources to build and maintain a physical data warehouse.
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