The challenge
The client wanted to validate Azure Databricks as a modernised platform for its data and machine learning work.
Public Sector • Azure Databricks
Machine Learning
Azure Databricks Data and Machine Learning Modernisation
Prototyped data and machine learning workloads on Azure Databricks to validate a modernised platform.
Ref: DKLIR116338
Video story · 1:01
The approach
Kumulus prepared data, developed machine learning models on Databricks and Microsoft Azure, and carried out technical validation.
The outcome
Validated Azure Databricks as a scalable, governed data and machine-learning platform for a public-sector estate of 5–6 TB of CSV files, offering a path beyond the existing Spark and Trino environment. Ingestion was demonstrated across five file schemas.
Built on Azure Databricks
Powered by
Could this work for your organisation?
The AI Audit shows where data and AI will deliver measurable value for you first.