Free LinkedIn livestream
Build a context layer for your data agent.
A practical, technical webinar on building the context your AI agent needs to work with your data warehouse - for data engineers, data analysts, and data scientists.
Your agent is only as good as its context.
About the webinar
A live, technical session streamed on LinkedIn. An AI agent needs context to work with your data. We walk through how to build that context, step by step, and how to keep it up to date. We use Bruin for the examples and show snippets of code along the way, but the same approach applies to any tool or platform. It works for a data engineering, analytics engineering, or data analyst agent.
What we will cover
- The layers of context an agent reads: repo, pipeline, asset, semantic, and glossary.
- Tools that give the agent more context and let it take action: skills, MCP, and CLI.
- How to stop the layers from clashing, then join them into one.
- How to build it and keep it fresh: start with AI, improve it, test it locally, let real users try it, then let it update on its own.
Agenda
- Intro~5 min
- Layers of context~10 min
- Types of tools~5 min
- Build the context~15 min
- Make it self-heal and improve~10 min
- Final thoughts and Q&A~15 min
Your hosts
- Arsalan NoorafkanDeveloper Advocate, Bruin
- Sabri KaragönenCo-founder, Bruin
- Burak KarakanCo-founder, Bruin
Save your seat
Register below, or on Luma.
Previous events
Where we've been.
- Self-Healing Pipelines with Bruin · OnlineAugust 2026
- Shoptalk Afterparty · BarcelonaJune 2026
- Shoptalk · BarcelonaJune 2026
- Snowflake Summit · San FranciscoJune 2026
- Istanbul Data Meetup · IstanbulApril 2026
- GDC · San FranciscoMarch 2026
- Ecommerce Berlin · BerlinFebruary 2026
- Istanbul Data Meetup · IstanbulFebruary 2026
Give your data agent the context it needs.
. Free, one hour, and the recording goes out to everyone who registers.