
CF.Cumulus is designed to help you
A complete accelerator for metadata driven lakehouse delivery.
Metadata Driven Ingestion
Automate ingestion pipelines based on structured metadata.
Lakehouse Orchestration
End to end data processing orchestration, including dependency handling and intelligent restartability.
Accelerated Delivery
Deliver value quickly by reducing time spent on boilerplate engineering.
Transformation Framework
Metadata based transformation patterns including dimensional model processing.
Governance Ready
Apply consistent quality, lineage and monitoring controls.
Flexible Technology Choices
Deploy on Microsoft Fabric or combine Azure Data Factory with Databricks or Synapse Analytics.
So you can achieve meaningful outcomes
Using our unique blend of products and services we are able to deliver outcomes faster, more reliably, and more cost effectively.
By applying a proven approach
The core pillars of CF.Cumulus: Control, Ingest, and Transform provide the backbone of a modern cloud data platform. Each module is crafted to simplify your data processes, enabling seamless integration and operation with a metadata-driven approach.
1. Describe with Metadata
Define sources, formats, schedules and transformations in one place using simple metadata entries that drive automation across the lakehouse.
3. Apply Transformation Patterns
Use reusable transformation templates to build curated and semantic layers quickly, reliably and consistently.
5. Monitor and Extend
Integrate with monitoring and governance tools, optimise performance and extend the open framework as your platform evolves.
2. Generate Ingestion Pipelines
Automatically create repeatable ingestion pipelines for Microsoft Fabric or Azure Data Factory that land data into controlled lakehouse layers.
4. Orchestrate with Reliability
Manage execution, dependencies and workflow reliability across data flows.

Getting started is simple and low risk
Choose the path that suits your organisation. Start quickly with self service or work with us through a guided onboarding.
1. Pick Your Deployment Path
Choose from guided onboarding, GitHub deployment or the Azure Marketplace offer. Each option provides access to the framework.
2. Configure Metadata and Environment
Define your data sources, formats and transformations using metadata.
3. Start Building Your Platform
Use the framework to start producing meaningful datasets and models without heavy engineering effort.
With Proven Results
Tangible results of our unique approach


















