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From PoC to Production: Delivering with Confidence with Databricks

2025-12-12 – 2025-12-12 Meetup Visit website ↗

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Many organisations stall at the Proof-of-Concept (PoC) stage, struggling to translate early wins into scalable, business-ready outcomes. This session is designed for Delivery Managers, Product Owners, and Leaders who want to move beyond experimentation and deliver lasting value with Databricks. We’ll explore practical strategies for:

  • Structuring projects from discovery through production with clear milestones and measurable outcomes.
  • Managing stakeholder expectations to avoid scope creep and align on success criteria early.
  • Establishing strong delivery governance to keep projects on track and accountable.
  • Deploying Databricks infrastructure correctly from the outset — including multi-environment setup (Dev/Test/Prod), Unity Catalog, storage configuration, and CI/CD with Databricks Asset Bundles — to ensure scalable, secure, and reproducible deployments.
  • Avoiding the “never-ending PoC” trap by creating a clear path to productionisation.

Through real-world delivery examples, we’ll show how to combine best practices in project management with modern Databricks capabilities to:

  • Accelerate time to value
  • De-risk deployments
  • Build stakeholder confidence in data & AI programmes

Why attend? ✅ Learn how to deliver Databricks projects with clarity and confidence ✅ Understand infrastructure and governance foundations for scalable rollouts ✅ Gain practical tips to move from pilot to production successfully Join us to learn how to deliver Databricks projects that don’t just prove value — they scale it.

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From PoC to Production: Delivering scalable Databricks projects

2025-12-12
talk

A session for Delivery Managers, Product Owners, and Leaders on moving beyond PoC to scalable, production-ready Databricks deployments. Topics include structuring projects from discovery through production with clear milestones, managing stakeholder expectations, establishing delivery governance, deploying Databricks infrastructure (multi-environment Dev/Test/Prod, Unity Catalog, storage configuration, and CI/CD with Databricks Asset Bundles), and creating a clear path to productionisation. Real-world delivery examples illustrate how to accelerate time to value, de-risk deployments, and build stakeholder confidence in data & AI programs.