APRA Initiates Data Stack Modernization Using Databricks on Azure
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Rapid Overview
- APRA is upgrading its data framework with Databricks on Azure.
- The initiative commenced in July of the previous year with preliminary steps.
- APRA has developed data pipelines, yet considerable work is still needed.
- This effort is part of ‘Program GUIDE’.
- Databricks on Azure will serve as APRA’s new data platform.
- This transition is in line with enterprise AI trends.
APRA’s Data Framework Revamp
The Australian Prudential Regulation Authority (APRA) is undertaking a substantial revamp of its data framework and governance structure. This modernisation initiative is backed by a new platform, Databricks on Azure, which aims to transform the way the authority manages its data and analytics.

Preparing for Implementation
The foundation for this initiative was established in July of the previous year, focusing on the development of frameworks for data transformation and quality. While full implementation of Databricks is anticipated to speed up this year, APRA has not yet verified the official procurement of the platform, and no contract announcements have been found on the Federal Government’s procurement site.
Initiative GUIDE
This initiative is being executed under the program referred to as ‘Program GUIDE’. Although APRA has not made specific goals or budget information public, Databricks on Azure is set to become the authority’s new enterprise data platform, aiding in important business decisions through enhanced metrics monitoring and insights.
Historical Background
The last significant data revamp by APRA took place over five years ago, leading to the replacement of its Direct to APRA (D2A) data collection tool with the APRA Connect system. At that time, the project aimed to elevate APRA’s data capabilities in line with advancements in data and technology. The current modernisation effort continues on this path, especially as enterprise AI grows more important.
Conclusion
APRA is advancing with a major overhaul of its data infrastructure, utilizing Databricks on Azure. This effort forms part of a larger strategy to improve the authority’s data management and analytical capabilities in an age where enterprise AI is increasingly significant.
