Databricks Bristol Meetup: April Edition
Details
Bristol, we’re back.
After a cracking first meetup in February, we’re getting the Databricks Bristol community together again for a relaxed evening of practical chat, great content, familiar faces - and meeting new ones.
Massive thanks (again) to iO Associates for hosting and championing the group locally, and to Advancing Analytics and Databricks for backing it and helping us build a great community in Bristol. We're also grateful to the Data Bristol meetup and others for building such a great community already. Now, we get to build something special for Databricks.
What to expect - a relaxed evening of good people, practical Databricks chat, and networking (the kind where you actually meet people, not just collect LinkedIn connections you’ll never speak to again). Whether you’re deep in Spark, living your best Lakehouse life, or just Databricks-curious, you’re very welcome.
Speaker: to be confirmed (and that could be you)
We’re locking in the main talk now. If you fancy speaking, we’re very open to talks from a variety of angles - it could be about cutting edge Databricks features, or perhaps real-world “here’s what worked, here’s what didn’t” stories. No sales pitches though!
We'll shortly open a Sessionize page where you can submit - for now please drop us a message if you'd like to speak!
What to expect
- A friendly, community-first meetup (no sales, no nonsense)
- A quick welcome from the organisers.
- A featured talk (To be Announced)
- Drinks, pizza, and plenty of time to chat with other data folks
Agenda
5.30pm – Arrival + networking drinks
6.00pm – Introduction from the team
6.10pm – Talk to be announced
7.00pm – Drinks + pizza + networking
Venue
Hosted at iO Associates, Bristol. (St Bartholomew's House, Bristol BS1 2NH)
RSVP
Spaces are limited, so please RSVP. If you can’t make it, do update your RSVP so someone else can grab your spot.
Who should come?
- Data engineers, analysts, scientists, platform folks, architects
- People building on Databricks (or evaluating it)
- Anyone into modern data + AI and learning from others doing it for real
