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

Agenda:
11am: Intro – Shelby Ferson, Sr. Manager ANZ, Databricks

11:10am: Business Problem Statement – Sandeep Mathur, Program Manager, TfNSW

11:20am: Self-Service Analytics with Delta Lake and Databricks – Rodney Joyce, Practice Director, Data-Driven

11:55am: Q&A – Win an UberEats voucher for best question!

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

Meetup Host:

Data-Driven provides tailored end-to-end consulting services and solutions to help businesses transform their data into actionable insights and drive their business decisions.

Note: you need to register on Meetup to attend online…

“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.”