A 2020 partnership built around Azure Databricks delivery

Data-Driven announced a strategic partnership with Databricks on September 17, 2020. The announcement connected Databricks engineering and analytics technology with Data-Driven’s Azure consulting work.

This page is a company archive. Partner levels, team roles, product names, and service scope can change. Use the maintained Databricks consulting page for current information.

Why the partnership was announced

The 2020 release described a shared delivery focus: data engineers and data scientists needed a practical path from ingestion and exploration to production analytics.

At that time, the announcement emphasised managed Spark clusters, collaborative notebooks, scheduled pipelines, Delta Lake, and MLflow. Those product descriptions belong to the original publication date.

The recorded leadership view

“Without Databricks + Delta Lake we would not have been able to extract insights at the scale, speed and cost required by our customers. Databricks also provides a seamless experience for Data Engineers, the Business users and Data Scientists while removing technical barriers. This partnership will allow us to focus on business outcomes and less on technical challenges.”

— Rodney Joyce, Practice Director at Data-Driven, as quoted in 2020

The quote is preserved verbatim. Its claims and job title should be read in their 2020 context.

Technology named in the announcement

The original page credited the projects and organisations behind the technology used in the partnership.

Apache, Apache Spark, and Spark are trademarks of the Apache Software Foundation.

Current status belongs on the maintained page

The archive intentionally omits the original investor list, customer list, personal contact details, and broad performance claims. Those details were not needed to understand the announcement and may no longer be current.

For the current engagement boundary, events, and external partner links, use Databricks consulting.