dbt

🏗 Your entire analytics engineering workflow

🧪 Built by @dbt_labs

[dbt @getdbt]

Your chart's labels, colors, and layout shouldn't need to be reinvented every time you build a dashboard.

dbt Charts brings thoughtful design defaults into a declarative, YAML-based workflow, making visualizations easier to maintain.

Take a look: https://t.co/OIA4v7Cin8

[dbt @getdbt]

A new company name. The same commitment to dbt.

Our merged company is now Fivetran, but dbt remains dbt. We're continuing to invest in the product and open-source community while building toward a future where AI agents understand your business.

🔗 https://t.co/wyswVYuXKo

[dbt @getdbt]

At Okta, analytics engineering used to mean teams solving similar problems in different ways.

Pooja Crahen, Senior Manager of Analytics Engineering at Okta, explains how the same context built for humans can power AI without rebuilding it for every agent. Hear her perspective 👇

[dbt @getdbt]

New dbt features. Real demos. A look at what's shipping next.

Join us November 17–18 for a live walkthrough of the latest product updates from our team.

Ask the product team your questions, and get a chance to win some fun giveaways. Save your spot: https://t.co/T4IhcKXQnl

[dbt @getdbt]

What's changing for data teams?

The State of Analytics Engineering Survey is open, and we want your perspective on the work, challenges, and trends shaping the field.

Add your voice now, the survey closes December 18: https://t.co/imgb9un7vB

[dbt @getdbt]

Fivetran is a Leader in the 2026 Gartner® Magic Quadrant™ for Data Integration Tools.

Together, Fivetran + dbt Labs are helping data teams connect AI to trusted data, tested models, and shared business context.

Read the blog to hear our perspective: https://t.co/Gaa1fF409L

[dbt @getdbt]

Tristan Handy wants to wire a decision process to every single customer interaction and pick the best intervention at each one. Decision models like Jev make that practical: they’re cheap, fast, and return calibrated probabilities.

Learn more: https://t.co/t6hdcTiaGI

[dbt @getdbt]

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 👯‍♂️ https://t.co/i40OIjegMs

[dbt @getdbt]

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: https://t.co/e702BSJo5O

[dbt @getdbt]

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: https://t.co/FyWpbXyDEg

[dbt @getdbt]

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: https://t.co/F0uz1dQxxz

[dbt @getdbt]

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: https://t.co/LKA7VvWohF

[dbt @getdbt]

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 https://t.co/Jfap4ntdkO

[dbt @getdbt]

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: https://t.co/pKMXIypIwA

[dbt @getdbt]

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: https://t.co/v1VG6YerI8

[dbt @getdbt]

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: https://t.co/kXBXjZ2Juw

[dbt @getdbt]

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: https://t.co/RlAhdWXT1G

[dbt @getdbt]

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: https://t.co/wNMJNQZfbe

[dbt @getdbt]

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: https://t.co/kiD3BJ0JAf

[dbt @getdbt]

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: https://t.co/mhlOPbMexy