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That’s after we dedicated to a modernization journey, not simply to interchange instruments, however to reimagine the structure. We selected a lakehouse mannequin constructed on Azure Databricks and ADLS Gen2 to unify batch and streaming knowledge, implement governance by way of metadata and role-based entry and ship analytics that had been each quick and auditable.
In the end, modernization wasn’t about price containment; it was about unleashing worth. By transitioning to a scalable, compliant and cloud-native structure, we empowered our business, medical and compliance stakeholders to maneuver from reactive reporting to proactive decision-making. It was a strategic transfer to remodel how knowledge supported the enterprise right now and into the long run.
Architecting the Azure Databricks lakehouse
Because the lead architect for this transformation, I didn’t simply migrate workloads from Teradata — I reimagined your complete knowledge basis to help agility, compliance and enterprise affect. I envisioned a modular, metadata-driven structure grounded in Azure Databricks, Delta Lake and Azure Knowledge Lake Storage Gen2. With robust backing from a devoted technical group, we constructed a resilient, end-to-end platform that aligned with each enterprise knowledge requirements and regulatory expectations.