Enabling Self-Service Analytics & ML at Transport for NSW with Databricks

In this business-focused session, we’ll look at how Data-Driven leveraged Databricks to enable Self-Service Analytics and Machine Learning on the TfNSW Operational Data Lake.

This enables innovation across Transport departments as non-technical analysts, business users and data scientists now have a scalable, secure platform to test transport-related hypotheses and mine public transport data for additional insights.

On top of this, external users and the public can now download historical GTFS public transport data for use within their own services and products.

Targeted at CEOs, CIOs, CTOs, Program Managers and IT Managers in charge of Data and Analytics