UK Databricks User Group | Powered by Champions & Unifeye

## No Python? No problem. Delta Live Tables (DLTs - Lakeflow Declarative Pipelines) brings powerful, production-ready data pipelines to life with just SQL. In this session, we’ll show how analysts and engineers alike can declaratively define robust pipelines – from raw ingestion to analytics-ready data – all without writing a single line of Python.

Using a real-world business scenario and dataset, we’ll walk through how to:

• Ingest data with schema inference and Auto Loader into a Bronze layer
• Apply transformations and quality expectations in the Silver layer
• Build a business-friendly Star Schema in the Gold layer
• Add data quality tests directly into your pipeline
• Compare deployment options in the UI and via Databricks Asset Bundles (DABs)

Whether you’re a data analyst taking your first steps into engineering or an engineer looking for faster, simpler ways to build pipelines, this session will give you the practical foundation you need to unlock value with DLTs.
Agenda:

• 5 min – Welcome & Business Context
• 10 min – Why Delta Live Tables?
• 5 min – Pipeline overview (sources, processing, presentation)
• 10 min – Bronze layer: ingestion, schema inference, expectations
• 5 min – Silver layer: transformations, quality rules
• 5 min – Gold layer: star schema design
• 5 min – Testing in DLT
• 10 min – Deployment: UI vs DABs

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Data without governance is not just unmanageable, it’s a liability. As organisations scale their data platforms across teams, regions, and clouds, the need for consistent governance becomes critical.
In this session, we’ll explore how Databricks Unity Catalog provides a unified approach to governance, enabling:

• Fine-grained access controls to secure sensitive data while empowering users.
• Centralised lineage and auditability for complete visibility across your data estate.
• Cross-region and multi-team compliance to meet regulatory requirements without slowing down innovation.

We’ll share real-world examples of how enterprises are leveraging Unity Catalog to:

• Reduce risk and prepare for audits.
• Simplify security management at scale.
• Accelerate data democratization with confidence.

Whether you’re a data engineer, architect, or governance lead, this session will provide practical insights into building a trusted data foundation with Unity Catalog.
Why attend?
✅ Understand how to operationalise governance at scale
✅ See how leading organisations manage compliance in real-world scenarios
✅ Learn best practices to unlock secure collaboration and faster delivery
Join us to discover how to turn governance from a blocker into an enabler of data and AI success.

Enterprises today face increasing pressure to collaborate on data while maintaining security, governance, and regulatory compliance. In this session, we’ll showcase how Databricks and Palantir integrate to provide a powerful foundation for enterprise-scale data collaboration.
Together, these platforms enable organisations to:

• Accelerate analytics & AI by unifying diverse datasets under a secure and governed model.
• Support decision intelligence with advanced modelling and shared data applications.
• Reduce time to value in highly regulated industries by streamlining compliance and governance.

Through real-world use cases, we’ll demonstrate how financial services, healthcare, and public sector organisations are already leveraging the Databricks + Palantir combination to:

• Break down silos while protecting sensitive data.
• Enable collaborative, cross-organisation analytics.
• Deliver insights and innovation faster with confidence.

Why attend?
✅ Discover how Databricks and Palantir complement each other in practice
✅ Learn strategies for secure and governed data sharing across teams and partners
✅ See how regulated industries are achieving faster, safer decision-making
Join us to explore the future of trusted, collaborative data ecosystems powered by Databricks + Palantir.

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.