What’s In The Report
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 inherit benefits of separating compute and storage
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.