Catalyzed by the trend of separating compute and storage in enterprise data and analytics, this report looks at the evolution of an abstracted data architecture. Specifically, this report looks at the components required to make this abstracted data architecture a reality, including the evolution of distributed query engines, OLAP cube systems, semantic modeling, federated query and data virtualization.
What You’ll Learn
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