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Meeting Big Data Challenges with a Hybrid Architecture

As the internet of things continues its march toward ubiquity, geospatial big data has officially graduated from “hot topic” to “top of the to-do list” for many enterprises. More GIS data can mean a gold mine of valuable business insights, but not if it’s swamping existing legacy systems and eating up already-taxed resources.

Fortunately, there is a clear path to a solution: incorporating powerful, flexible open technology by leveraging a hybrid architecture. With a hybrid approach, businesses can take advantage of open solutions built to handle geospatial big data demands – without the disruption of rip-and-replace. In some cases, legacy systems are ably handling critical processes, and a hybrid strategy allows the organization to retain what works while adding modern capabilities.

I recently detailed this approach in Hybrid GIS Architectures: The Best of Both Worlds, for insideBIGDATA.com. In demystifying how companies can incorporate open technology alongside existing systems, I explain some of the geospatial-specific benefits to leveraging open-source GIS as part of a hybrid architecture, including:

  • Better software utilization
  • Economic scalability
  • Lower total cost of ownership
  • More technical agility and skilled staff
  • Compatibility with modern IT
  • Project resilience and continuity
  • Phased migration

To learn more about each of these benefits, as well as how to embark on a hybrid approach, read the article on insideBIGDATA.com. You can also watch a Boundless webinar about future-proofing your GIS journey with hybrid architecture here.