Evolving From Monolithic to Distributed Architecture Patterns in the Cloud

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Paul Moxon
Paul Moxon SVP Data Architectures & Chief Evangelist Denodo

Gartner states in its Predicts 2018: Data Management Strategies Continue to Shift Toward Distributed,

“As data management activities are becoming more widespread in both distributed processing use cases, like IoT, and demands for new types of data, emerging roles such as data scientists or data engineers are expected to be driving the new data management requirements in the coming two years. These trends indicate that both the collection of data as well as the need to connect to data are rapidly becoming the new normal, and that the days of a single data store with all the data of interest — the enterprise data warehouse — are long gone.”

Data management solutions are becoming distributed, heterogeneous and extremely diverse. 

Attend this session to learn:

  • How to evolve architecture patterns in the cloud using data virtualization.
  • How data virtualization accelerates cloud migration and modernization.
  • Successful cloud implementation case studies.

Visit the Packed Lunch Webinar Series page for details on all the sessions.

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