This session will highlight a customer use case from a leading global insurance and asset management company that required a data fabric to provide the capabilities of multiple software components in a unified platform. This simplified architecture powered a real-time Data 360 solution that was used by data analysts and operational applications for accurate in-the-moment analytic results.  

We will address some of the major challenges faced by enterprises today including:

  • Siloed data stores that are used for different data models and applications
  • Multi-region deployments with different deployment environments (on-premise, cloud)
  • The ability to blend streaming, transactional and historical data for real-time analysis and ML
  • The need for agility and efficient use of microservices
  • Real-time “sandboxes” for data scientists or analysts


Register to join our webinar (or to get the recording afterwards).