---
title: "Transport for NSW Databricks Meetup Archive"
canonical: "https://data-driven.com/events/enabling-self-service-analytics-ml-at-transport-for-nsw-with-databricks/"
description: "Review the archived December 2020 Transport for NSW and Databricks meetup, including its agenda, presenters, recorded customer quote, and closed registration."
---

Archived online meetup · December 11, 2020

# Transport for NSW: _self-service analytics on an operational data lake_

The Databricks community session has finished. Its agenda connected a Transport for NSW problem statement to an Azure data-lake implementation and live Q&A.

Archive status

## The December meetup is now a session record

The online meetup ran on December 11, 2020. Its registration and question-prize offer have ended.

Published event record

**Date:** Friday, December 11, 2020

**Time:** 11:00 am–12:00 pm

**Format:** Online

![Transport for NSW and Databricks meetup banner dated December 11, 2020](/_astro/Databricks-Meetup-Image-1200x450-3.D6MHISMN_uq6e3.webp)

Original event artwork. The meetup and registration have finished.

Published agenda

## The hour moved from the transport problem to the implementation

The listing assigned a named presenter and time to each part of the session.

11:00

Introduction with Shelby Ferson, Databricks.

11:10

Business problem with Sandeep Mathur, Transport for NSW.

11:20

Delta Lake and Databricks implementation with Rodney Joyce, Data-Driven.

11:55

Audience questions closed the meetup.

> “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](/_astro/Sandeep-Mathur-Photo.mpzxI04o_21GXGl.webp)

[Sandeep Mathur](https://www.linkedin.com/in/sandeepmathur1/)

Program Manager, Transport for NSW, as listed for the 2020 event

Session boundary

## The meetup described access and analysis, not a new product offer

The original session covered self-service analytics and machine learning on the TfNSW Operational Data Lake.

1.  The advertised audience included executives, program managers, and IT leaders responsible for data and analytics.
2.  The listing described historical GTFS data being available to external users and the public.
3.  Current architecture, access, and availability should be read from the maintained case study, not inferred from this 2020 event page.

## Continue with the Transport for NSW case study

See the published problem, implementation, and result boundaries in the full customer record.

[Read the TfNSW case study](/case-study/transport-for-nsw-boosts-analytics-with-azure/)

[Browse Data and AI events](/data-ai-events/)

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