--- title: "TfNSW Self-Service Analytics with Databricks" canonical: "https://data-driven.com/blog/enabling-self-service-analytics-ml-at-transport-for-nsw-with-databricks/" description: "An archived meetup and customer story about the Operational Data Lake used for analytics and machine learning at Transport for NSW." --- Customer meetup archive · December 2020 # How TfNSW enabled _self-service transport analytics_ An archived meetup and customer story about the Operational Data Lake used for analytics and machine learning at Transport for NSW. 11 December 2020 2 min read Updated 25 Aug 2026 Reader brief What this archive records 1. The session connected a transport problem to an Azure data-lake implementation. 2. The customer quote and speaker roles are preserved as published in 2020. 3. Use the maintained case study for the current evidence boundary. ![Transport for NSW and Databricks meetup banner from December 2020](/_astro/Copy-of-Databricks-Meetup-Banner-for-Blog-Post.C-emyWAf_1PvKVu.webp) Dated reference This article was published on 11 December 2020. Product details, interfaces, pricing, and linked resources may have changed since then, so confirm current guidance before acting. Transport for NSW, Databricks, and Data-Driven presented this online meetup on December 11, 2020. The session connected a Transport for NSW problem statement to an Operational Data Lake implementation on Azure. It is retained as an event and customer record. Registration, the old form, and the live-session prompt have closed. ## What the session covered The published agenda moved through three views of the work: 1. The transport and reporting problem described by Transport for NSW. 2. The Azure and Databricks implementation presented by Data-Driven. 3. The self-service analytics and machine-learning use cases discussed by the group. The original page named Databricks Delta, Databricks SQL Analytics, Spark, Azure Synapse, Azure Machine Learning, and Power Platform. Those names reflect the 2020 session, not a current architecture recommendation. ## The recorded customer view > “TfNSW needed a solution to capture real-time data for every vehicle in motion across the state. This solution just gives us that so that we mine nuggets from this data at a later date. We now have an ability to self-service without waiting for someone else to curate data.” > > — Sandeep Mathur, Program Manager, Transport for NSW, as listed for the 2020 event ![Sandeep Mathur](/_astro/Sandeep-Mathur-Photo.mpzxI04o_Y8Q21.webp) [View Sandeep Mathur’s LinkedIn profile](https://www.linkedin.com/in/sandeepmathur1/). The quotation and role are preserved as published. They should not be read as a current job title or as proof of every present-day platform capability. ## Where to find the maintained record The [archived meetup page](/events/enabling-self-service-analytics-ml-at-transport-for-nsw-with-databricks/) preserves the date, agenda, speakers, and claim boundary. The [Transport for NSW case study](/case-study/transport-for-nsw-boosts-analytics-with-azure/) is the maintained source for the problem, implementation, and published result. Use it rather than inferring current architecture or data availability from this 2020 session. Filed under - [databricks-meetup](/tag/databricks-meetup/) - [data-lake](/tag/data-lake/) - [databricks](/tag/databricks/) - [delta-lake](/tag/delta-lake/) Continue reading ## Related perspectives [![Sydney Databricks Meetup banner for governance and R migration talks](/_astro/Databricks-Meetup-Image-1200x627-3.BVa-N5qJ_130w65.webp)](/blog/enterprise-governance-on-data-lake-with-unity-catalog-databricks-implementation-with-r-jobs-migration-use-case/) Databricks ### [Unity Catalog Governance and R Migration Meetup](/blog/enterprise-governance-on-data-lake-with-unity-catalog-databricks-implementation-with-r-jobs-migration-use-case/) An archived Sydney Databricks Meetup on Unity Catalog governance and a customer implementation that migrated existing R jobs. [![Delta Lake and Spark lakehouse meetup artwork from October 2021](/_astro/Deep-dive-into-building-a-Data-Lakehouse-with-Delta-Lake-and-Spark-1.D6ycXdHU_Z1FsmPv.webp)](/blog/deep-dive-into-building-a-data-lakehouse-with-delta-lake-and-spark/) Databricks ### [Delta Lake and Spark Lakehouse Webinar](/blog/deep-dive-into-building-a-data-lakehouse-with-delta-lake-and-spark/) An archived Sydney Databricks Meetup session on building an ingestion pipeline with Delta Lake and Spark, with source details retained. [![Databricks and Data-Driven partnership artwork published in 2020](/_astro/DatabricksDataDrivenPartnership.C1yEtJ3R_Z27g73h.webp)](/blog/databricks-and-data-driven-announce-strategic-partnership-to-deliver-customer-analytical-solutions/) Databricks ### [Databricks and Data-Driven: 2020 Partnership Archive](/blog/databricks-and-data-driven-announce-strategic-partnership-to-deliver-customer-analytical-solutions/) The original 2020 announcement, leadership quote, service context, and partner resources for Data-Driven's Databricks relationship. ## Continue with the Transport for NSW case study See the maintained problem, implementation, and result boundaries. [Read the TfNSW case study](/case-study/transport-for-nsw-boosts-analytics-with-azure/) [Browse Data and AI events](/data-ai-events/)