The history of the data warehouse dates back to the 60s/70s when the likes of Bill Inmon, and others, started discussing the concept of the data modelling practice. It looked to address problems such ...

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WhereScape, a leading provider of data infrastructure automation software, announced WhereScape automation for Snowflake, an offering designed to help IT organizations speed up the delivery of ...

I'm trying to figure out how to best model a DataWarehouse Star Schema structure to capture certain medical information that will answer the questions we ask.<BR><BR>First the questions to put in some ...

Enterprise data warehouses, or EDWs, are unified databases for all historical data across an enterprise, optimized for analytics. These days, organizations implementing data warehouses often consider ...

Data lakes are cool, but you don’t have to jump in head-first. It’s easy to start by dipping a toe: Integrating a legacy data warehouse into a data lake leverages the structured systems that have been ...

Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amilcar has 10 years of FinTech, blockchain, ...

Data warehouse systems have been at the center of many big data initiatives going as far back as the 1980s. Today companies from leading cloud hyperscalers such as Amazon Web Services (Redshift) and ...