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Melbourne,
VIC
Australia
Connect. Share. Learn.
The Melbourne Databricks Community is a community-led meetup for anyone interested in learning, exploring and building with Databricks.
The group brings together data engineers, analytics professionals, architects, AI and ML practitioners, business users, leaders, students and curious builders who want to understand what is possible with Databricks and learn from others working in the field.
Our goal is simple: create a friendly, practical and inclusive Melbourne community where people can connect, share knowledge, learn from real experience, and help each other build better data and AI solutions.
This is a community event, by the community and for the community, not a sales forum.
Whether you are deep in Unity Catalog, building pipelines, exploring Mosaic AI, modernising your data warehouse, experimenting with GenAI and Genie, learning Databricks for the first time, or simply trying to understand where the platform fits in your organisation, you are welcome.
We meet monthly, usually in the evening, with in-person attendance preferred. From time to time, sessions may also be streamed online.
A typical meetup includes:
Arrival, networking, food and drinks
A presentation, technical talk, demo, panel or community show-and-tell
Open discussion and Q&A
More networking before close
The sessions are designed to be practical and useful. Expect real examples, lessons learned, product exploration, use cases, personal projects, technical deep dives, and honest conversations about what works, what does not, and what people have learned the hard way.
The group covers a broad range of Databricks and data platform topics, including:
Databricks Product deep dives (Lakehouse, UC, Mosaic AI, Delta Sharing, CustomerLake, GenieOne etc.)
Data engineering, Data warehousing, Analytics, AI engineering, MLOps, Semantic Modelling, and more
Industry use cases
Product features and platform capabilities
Certification, skills and learning pathways
Personal projects and show-and-tell sessions
Practical lessons from real implementations
This community works best when members get involved.
You can contribute by suggesting topics, sharing use cases, presenting lessons learned, joining a panel, running a demo, helping organise events, sponsoring a venue, or simply attending and asking good questions.
You do not need to be a Databricks expert to contribute. Some of the best sessions come from people sharing what they are learning, what they are trying, and what they wish they had known earlier.
By joining the community, registering for an event, or attending an event, you agree to read and follow the Databricks Community Code of Conduct.
The Melbourne Databricks Community is a respectful, inclusive and community-led forum. It is not a sales forum, and members and attendees are expected to contribute in a professional, helpful and welcoming way.
Please read the Databricks Community Code of Conduct here: https://community.databricks.com/t5/databricks-community-code-of/ct-p/Code-of-conduct
Join the group to attend upcoming meetups, meet others working with Databricks, suggest topics, volunteer to speak, share your experience, or bring a colleague who would benefit from being part of the conversation.
Come along, get involved, and help shape Melbourne Databricks Community.
