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

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

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

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

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

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

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

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

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

A great session at DAMA Minnesota with National Retail System's Carmen Olsen! Carmen shared how NRS is using dbt alongside Snowflake, @fivetran, and Power BI to automate testing, improve data quality and visibility, and build a stronger foundation for governance and AI.

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

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

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

Join the PMs and engineers building dbt State for 30 minutes of open Q&A on your architecture, edge cases, and “will this work for my setup?” scenarios. Bring your questions. Get direct answers. 🛠️ Register now: bit.ly/46N6BWr

The best part of #dbtSummit is the people, and the good news is you don't have to wait a year to get together with the community again. If you don’t see a meetup near you, find your local dbt chapter and join the group to get notified about future events meetup.com/pro/dbt/

We brought Explore mode for dbt Wizard to Public Preview at #dbtSummit last week. Now it's time to get hands-on. Explore independently. Validate together. All without changing your dbt project. Bring your next business question to dbt Wizard. bit.ly/4e4dir0

92% of companies plan to increase AI investment over the next three years. 1% of leaders call their organization mature in AI deployment. Start with the honest answer to one question: Can anyone trust the data today? Find your stage: bit.ly/3VjEHPl

On September 30 at 12 p.m. ET, Tristan Handy, President and Co-founder of Fivetran + dbt Labs, joins Juan Sequeda and Tim Gasper on Catalog & Cocktails to talk about what changes when agents become primary consumers of enterprise data. Join us live on bit.ly/4rC14M0

Your warehouse is great at warehouse workloads. That doesn’t mean every dbt model needs to run there. In our live demo, we’ll take a DAG from all-Snowflake → Iceberg-powered sources → Lake Compute, showing how to choose compute model by model. 👉 bit.ly/4d6I1U6

AI agents are fundamentally changing who consumes data -- and at what scale. Tristan Handy spoke with @CRN about what that means for the infrastructure underneath it: open, integrated building blocks that treat agents as first-class users. bit.ly/4dNkoA0