Organizations today are facing an opportunity that they must seize. If they could access the full wealth of their data that is distributed across cloud and on-premises, they could leverage the data for advanced analytics and operational efficiencies, leading to faster time-to-insights and more impactful decisions. However, the greatest barrier to seizing this opportunity is the fact that valuable enterprise data is distributed across many IT systems, each with its own data models, semantics, and interfaces. Distributed data has long been a challenge to leveraging and reusing data on premises, and the distribution is broadening as organizations embrace data architectures that are hybrid or multi-cloud.
In this presentation, data thought leader Philip Russom (formerly an analyst with Gartner, TDWI, and Forrester) will explain the opportunities and challenges of today’s cloud and on-premises distributed data, while highlighting logical solutions and desirable business use cases based on data virtualization.