
Paul Andrew
Proposed Sessions for 2026
During this workshop, participants will get an in-depth understanding of how CF.Cumulus can integrate Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Microsoft Fabric and other resources to streamline data insight deliveries.
This workshop defines big data and core architecture concepts, then explains warehouses, lakes, marts, virtualization, ETL vs. ELT, and compares Modern Data Warehouse, Data Fabric, Lakehouse, and Data Mesh, highlighting pros, cons, and practical considerations.
Explore how cloud-native technology influences data architectures like Lambda, Kappa, and Mesh, and the role of Microsoft Fabric. Discuss scalability, decentralization, and integrating multiple patterns into a cohesive, highly scalable data platform solution.
Discover the evolution of the data warehouse to the cloud using Delta.io, an open-source standard by Databricks, in Azure and Fabric. Learn how cloud-native Delta Lake technology provides ACID properties and distributed storage/compute for next-gen cloud data warehousing.
Explore scalable architectures in Azure & Microsoft Fabric for high throughput data ingestion and real-time analytics. Use Event Hub, Stream Analytics, SQL, and KQL to blend stream and batch data for rapid insights and competitive advantage.
I’ll share my journey as a Microsoft Data Platform MVP and CTO, and how an amazing network of peers fuelled innovation, collaboration, and growth. Discover how community can transform your career and inspire breakthroughs.
Organizations invest heavily in data engineering but neglect modelling the key to turning raw data into insights. This session explores Kimball, Corr, and Inmon principles to restore the lost art of data modelling for real business value.
Learn how to define and deliver governed data products using cloud‑native tools. Combine data mesh principles with data fabric automation for operational and analytical data, ensuring scalability, compliance, and reliability.
Retailers can use Microsoft Fabric to stream sales and stock data in real time, triggering automated alerts via Data Activator for rapid response to inventory changes and sales surges, driving smarter, faster retail operations.
Join this session to learn how to build a metadata-driven Lakehouse using Microsoft cloud technologies. Overcome data challenges, leverage automation, and achieve fast, efficient data platform delivery with minimal technical debt.
Explore the administration of Microsoft Fabric, focusing on capacities, domains, data products, and workspaces. Learn about data mesh concepts, aligning governance standards, and how to effectively shift from PaaS to SaaS for informed decision-making.