ON DEMAND WEBINAR
Duration: 32 minutes
Amid today’s uncertainties, utilities need new data perspectives that answer critical “why” questions so they can sharpen insights and drive better decisions. To this end, CIOs and IT directors engage in digital modernization programs migrating existing and legacy technology workloads to cloud platforms. Hence, more organizations are trying to move from legacy data warehouses and data lakes to a cloud-based, lakehouse paradigm for flexibility in more agile, self-service analytics.
However, it is not uncommon to find gaps in the geospatial capabilities of the chosen or available cloud solutions. Most data warehousing solutions come with common geospatial capabilities that will address basic use cases. But the true power of these solutions comes in the form of user-defined functions, which will help stakeholders augment their system’s capabilities with custom logic and advanced geospatial operators they may be accustomed to. Organizations that can relate location data and models to transaction data, events, real-time data streams, and more, will gain competitive location-specific answers to business questions.
Still there are many pitfalls when migrating to cloud solutions while keeping a geospatial perspective:
In this webinar you'll learn
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