451 Research

The Key Components Of An Abstracted Data Architecture

What’s In The Report

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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

  • The benefits of separating storage and compute resources
  • What is an analytics compute engine & which to consider
  • The performance benefits of realizing an abstracted data architecture

 

About 451 Research

451 Research is an independent global research and advisory firm. For over 20 years, they’ve generated the data-driven insight that empowers technology and service providers, IT leaders and financial professionals.

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