Warehouse virtualization, alternatively known as logical data warehousing and data federation, offers advantages over traditional data warehousing solutions in that it’s faster and cheaper to market. That’s because it doesn’t require designing, building, and deploying a data warehouse (i.e., a system for reporting and data analysis) from scratch and because it eliminates the need for pricey software licenses and hardware infrastructure.
Mike Waas knows this well. A former Microsoft and Amazon employee, he’s the founder and CEO of Datometry, a virtualization startup that’s developing a platform called Hyper-Q to make databases interchangeable by translating apps in real time. After raising a $10 million series A in June 2017, the company today announced that it has secured $17 million in a series B round led by WRVI Capital, with participation from previous investors that include Amarjit Gill, Dell Technologies Capital, Redline Capital, and Acorn Pacific.
Waas, who noted that this latest
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