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Thursday, July 23rd
The New Data Engineering Stack: AIRO, Airflow, and Claude
What if a production-grade data pipeline took minutes to design, not weeks? Every data leader knows the hidden cost: a "simple" pipeline request turns into weeks of stitching together ingestion, transformation logic, and Airflow orchestration — then bolting on the DataOps work nobody budgets for: schema drift handling, retries, alerting, monitoring, recovery. By the time it's production-ready, it's consumed a sprint and still needs constant care. This session shows a…
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