Enterprise data pipeline professionals often struggle to scale, operationalize, and ultimately deliver the benefits of automated workflow orchestration. Join John O’Brien from Radiant Advisors and Gerlof Bril from Achmea as they share practical examples and best practices to:
* Automate complex data pipeline workloads throughout the enterprise
* Orchestrate cloud-based tasks, workflows, and schedulers — without rearchitecting anything
* Centralize control, monitoring, and observability across a myriad of platforms, vendors, and infrastructures
* Enable real-time alerting, anomaly detection, root-cause diagnostics, issue remediation, and resource provisioning
* Align data pipeline processes with the CI/CD workflows used by enterprise DevOps teams
* Simulate, predict, test, and optimize the performance of ever-changing data pipeline workflows
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