This presentation discusses the limitations of traditional application-centric data centers and proposes a data-centered approach. It argues that with more data comes increased complexity from copying, transforming, and storing data across multiple systems. A data-centered model advocates indexing data once and reusing it across applications and analytics workloads. This is achieved through an enterprise NoSQL database that can index structured and unstructured data and integrate with Hadoop for analytics. Features like tiered storage, elastic scaling, and powerful services allow flexible data management throughout the lifecycle at lower cost.