Defining the term data warehouse is getting more difficult. Many of the recent technology innovations in software and hardware have enabled a new generation of data warehouse architectures. In-memory processing coupled with today’s faster hardware gives new data warehouse architectures greater speed and scale. Virtualization provides agility for development and efficiency that reduces latency, data movement, and data preparation. Put those together and you get an in-memory data fabric, where the overall logical design of the warehouse is expressed as a series of virtual views (or data fabric) in large server memory, while most data is fetched from source systems and processed in-memory for extreme speed and scale.
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