22-25 April 2026

Build a Lakehouse in an Hour with CF.Cumulus

2025

TL; DR

Join this session to learn how to build a metadata-driven Lakehouse using Microsoft cloud technologies and our product accelerator CF.Cumulus.

Session Details

In today’s data-driven world, fast and efficient data platform delivery is crucial for staying ahead of the competition. Join us for an exclusive session hosted by Cloud Formations, where we will demonstrate how our CF.Cumulus product can help you build a metadata-driven Lakehouse using Microsoft cloud native technologies. With CF.Cumulus, leverage Azure Data Factory, Azure Databricks, Azure Synapse Analytics, or Microsoft Fabric to streamline and optimize your data infrastructure.

Discover how Cloud Formations can help you simplify and overcome common obstacles such as fragmented data ingestion, change data capture, and orchestration scalability using our proven best practices. Learn how to leverage automation, open-standards, and seamless cloud integration to accelerate time-to-insight with minimal technical debt. This session is perfect for techies and data leaders seeking to streamline their cloud data platform delivery while maintaining cost control and operational resilience. In summary, unlock the potential to build a Lakehouse in a day with Cloud Formations’ CF.Cumulus product accelerator.

3 things you'll get out of this session

• Demonstrate how to build a metadata-driven Lakehouse using Microsoft cloud native technologies and CF.Cumulus. • Showcase strategies to overcome data challenges such as fragmented data ingestion, change data capture, and orchestration scalability. • Highlight the use of automation, open-standards, and seamless cloud integration to achieve fast, efficient data platform delivery with minimal technical debt.

Speakers

Paul Andrew

mrpaulandrew.com

Paul Andrew's previous sessions

An Evolution of Data Architectures - Lambda, Kappa, Delta, Mesh & Fabric
How has advancements in highly scalable cloud technology influenced the design principals we apply when building data platform solutions?
 
Building an Azure Data Analytics Platform End-to-End
Based on real world experience let’s think about just how far the breadth of our knowledge now needs to reach when starting from nothing and building a complete Microsoft Azure Data Analytics solution.
 
Creating a Metadata Driven Orchestration Framework Using Azure Data Integration Pipelines
We'll explore delivering this framework within an enterprise and consider an architect’s perspective on a wider platform of ingestion/transformation workloads with multiple batches and execution stages.
 
ETL in Azure Made Easy with Data Factory Data Flows
What happens when you combine a cloud orchestration service with a Spark cluster?! The answer is a feature rich, graphical, scalable data flow environment to rival any ETL tech we’ve previously had available in Azure.
 
Using Azure DevOps for Azure Data Factory
DevOps as a concept does not always translate to the technology when implemented. In this session we'll explore that problem when working with Azure Data Factory and what the different cloud only CI/CD options are.
 
Complex Azure Orchestration w Dynamic Data Factory Pipelines
If you have already mastered the basics of Azure Data Factory (ADF) and are now looking to advance your knowledge of the tool this is the session for you.
 
Building an End to End IoT Solution Using Pi Sensors & Azure
Demonstrating an end to end IoT solution providing real-time sensor data from a Raspberry Pi into an Azure IoT Hub, through Stream Analytics, then with outputs to Power BI and SQL DB. Learn how to build this simplified IoT solution from scratch.