🏗 Your entire analytics engineering workflow 🧪 Built by @dbt_labs
Fishtown, Philadelphia
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What do you get when you put data people in a room with snacks and no Slack notifications? 🍕 A dbt Meetup. We’ve got 8 of them this November, so go find your people!
Don’t see a Meetup near you? Find your local dbt chapter 👯♂️ bit.ly/3EBi5lu
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AI doesn't become trustworthy just because the model gets better.
Fivetran + dbt Labs are sharing five public policy principles for data and AI, bringing our perspective as data infrastructure builders to the broader conversation about responsible AI: bit.ly/3UnZPni
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Meet dbt Wizard. Now learn to build with it. 🧙
Our new free course covers CLI + platform setup, BYOK, skills, subagents, and MCP servers.
Your workflow. Your AI coding agent. Get started: bit.ly/4jxEBO9
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Couldn't make every session at #dbtSummit? Good news: the new on-demand hub is live. 👀
Catch the keynotes and technical deep dives on dbt, AI agents, and context engineering.
Explore the hub: bit.ly/4sv2tEr
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At @Zendesk, dbt MCP gives agents access to lineage, manifests, tests, and model metadata so they can take on repeatable engineering work.
The result: 2.5x faster data engineering, measured over six months.
See how Zendesk built it: bit.ly/4zkLIyE
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Stop rebuilding models that haven't changed.
Our new free dbt State course covers setup, lag_tolerance, cheaper CI, debugging skipped models, and measuring compute savings.
Learn at your own pace bit.ly/48dTdv4
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Fivetran + dbt Labs are part of the newly announced @SpaceX Super Intelligence Partner Network, alongside companies working to bring AI into enterprise workflows.
See the announcement: bit.ly/3TWwd0l
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Amazon Redshift Data Sharing lets teams access data across clusters without replicating it. Pair it with dbt, and you can build, test, and manage transformations on shared data using familiar SQL and Git workflows.
Dig into the technical walkthrough: go.aws/4zubShQ
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There are five stages between fragmented data and governed autonomous agents.
The first three stages build data that people can trust. The last two extend that trust into context that AI systems and agents can reason over.
Read the full guide here: bit.ly/3VjEHPl
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You asked for a way to try dbt State without worrying about what happens when the trial ends. We listened.
Starting today, dbt State has a free plan. 🎉
Get the details and start using dbt State: bit.ly/4dNOm7h
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Your team should be able to debug its own data platform.
For Insider Store, moving from consultancy-managed dbt Core to the dbt platform meant taking ownership of the workflows they depend on every day.
Read how they did it: bit.ly/4ezrnwO
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More context doesn't always mean better AI.
On October 28, Fivetran + dbt Labs CEO George Fraser joins VP and GM at Google Cloud Andi Gutmans to unpack what agent-scale workloads mean for data architecture, governance, and autonomy.
Register now: bit.ly/4etDn2U
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Everyone's debating which model builds the best dbt models. We think that's the wrong question.
On a real-world dbt project, Wizard had a 5% follow-up fix rate, lower than every other model and harness measured.
Learn more: bit.ly/3VBCBdV
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Your dbt Developer certification expired. Your skills didn't.
Good news: you don't have to take the full exam again.
Our new dbt Developer recertification exam is half the length and half the cost.
Renew your credential: bit.ly/3W1G7hF
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With Amazon Redshift data sharing support in dbt, your dev environment can read production data through a datashare while writing models into its own target database, all in the same dbt run.
Get into the technical details: bit.ly/47KgvbE
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Context engineering isn't a whole new discipline. It's analytics engineering with a new last mile.
On October 14 and 15, we'll walk through these patterns using the dbt_context_engineering package.
Save your spot bit.ly/47P9Ahn
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Your AI agent can query the data. Does it know what the data means?
Join us for 15 minutes to see how Fivetran + dbt Labs combine fresh data with tested models and shared business logic.
Live demo included. Come build with us: bit.ly/4jFh0Lo
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If you were at #dbtSummit, you know. If you weren’t... well, here’s some of what you missed. 👀
The good news: the keynotes and breakout sessions are now available on demand.
Catch up on everything you missed: bit.ly/3Ti9USl
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From dbt v2, dbt State, Context Layer, Lake Compute, dbt Wizard, and dbt Charts to a bigger conversation around context engineering and Open Data Infrastructure, Data Analysis Journal breaks down the #dbtSummit announcements. bit.ly/4z2barW
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