Open Data Infrastructure: The Next Era of Data Architecture
Dinsdag 12:00 - 00:00
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Edwin Commandeur
Principal Field Product Manager
As AI accelerates the pace of change, demanding fresher data, diverse formats, and support across multiple engines, many teams discover their infrastructure was built for reporting, not real-time AI at scale. Open Data Infrastructure is redefining how organizations design for analytics, operations, and AI. By leveraging Fivetran as an interoperable data foundation, organizations can embrace open standards, separate storage from compute, and keep data portable across clouds and engines, preserving adaptability while scaling AI and operational workloads with Databricks.
Join this session to learn how organizations:
Build an open, future-proof foundation that supports analytics, operations, and AI without repeated replatforming.
Preserve control over costs and data access as AI workloads increase in scale and complexity.
Design architectures that prevent platform lock-in through interoperability across ingestion, transformation, and activation.
As AI accelerates the pace of change, demanding fresher data, diverse formats, and support across multiple engines, many teams discover their infrastructure was built for reporting, not real-time AI at scale. Open Data Infrastructure is redefining how organizations design for analytics, operations, and AI. By leveraging Fivetran as an interoperable data foundation, organizations can embrace open standards, separate storage from compute, and keep data portable across clouds and engines, preserving adaptability while scaling AI and operational workloads with Databricks.
Join this session to learn how organizations:
Build an open, future-proof foundation that supports analytics, operations, and AI without repeated replatforming.
Preserve control over costs and data access as AI workloads increase in scale and complexity.
Design architectures that prevent platform lock-in through interoperability across ingestion, transformation, and activation.
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