May'26: "Fabric Metadata Pipelines" & "Data Modelling: Input ➡️ Insight"

Apologies we set up the original with the wrong date so have recreated the meetup on Thu 21st May.

When: Thursday 21st May 2026
Time: arrive for 5:45pm with talks starting from 6pm start prompt.
Location: Ecosurety, 2nd Floor, 4 Colston Ave, Bristol BS1 4ST

Complimentary drinks & pizza provided by our sponsor Method Resourcing Solutions. Please remember to RSVP to help us confirm numbers!

Session 1 - Build it right: Real-World Microsoft Fabric Pipelines with Metadata & Medallion Architecture - Alpa Buddhabhatti
In this session, you’ll learn how to build data pipelines the right way—scalable, reusable, and future-proof—using Microsoft Fabric and the Medallion Architecture (Bronze, Silver, Gold).

Through a fully working demo based on a real-world scenario, we’ll show how to:

• Load messy data from Excel files, on-prem databases, & APIs
• Ingest and land it into OneLake using (ADF)
• Use metadata tables to control pipeline behaviour & automate transformations
• Apply business logic using Fabric SQL DB & Notebooks
• Deliver clean, trusted data for Fabric Data Agent

Fabric components covered: Fabric Data Factory (ADF) // OneLake + Lakehouse // Fabric SQL DB // Fabric Notebooks // Fabric Data Agent

This session is perfect if you're tired of rebuilding pipelines from scratch for every use case. Learn how to design once, scale with metadata, and deploy with confidence across environments—all within the Microsoft Fabric ecosystem.

About Alpa
I specialise in helping organisations adopt and transform with modern Data & AI platforms, thriving at the intersection of data engineering, cloud architecture, and artificial intelligence. My passion lies in crafting end-to-end data and AI architectures that integrate LLMs and Generative AI—powered by Azure OpenAI, Azure AI Foundry, Copilot, and Microsoft Fabric—to unlock insights and deliver innovation at scale.

Session 2 - Data Modelling: The Lost Art of Turning Inputs into Insights - Paul Andrew
In today’s data-driven world, business pour vast resources into data engineering pipelines, platforms, and processing often overlooking the true value driver in the solution, data modelling. Without well-defined models, data remains a raw asset rather than a business intelligence enabler. In this session, we will remind ourselves of the foundational principles of dimensional modelling and agile data warehouse development, drawing on the timeless work of Ralph Kimball, Lawrence Corr, and Bill Inmon.

From a data architect’s perspective, we’ll explore why modelling is not just a technical step but a business-critical discipline that transforms inputs into actionable outputs. You’ll learn how robust data entities bridge the gap between engineering and analytics, enabling clarity, consistency, and scalability in delivering valuable insights.

About Paul
Paul (AKA @mrpaulandrew) is the Co-Founder & CTO of Cloud Formations, a specialist data consultancy based in the UK. With nearly 20 years’ experience designing and delivering Microsoft data architectures, Paul leads a passionate team of engineers, supporting businesses small and large with scalable cloud platforms.

We all look forward to seeing you there!!