dbt Labs

📓 Fusion Diaries: Redshift support, clone, better stack traces, and a long-awaited bug squash. This was a big week for dbt Fusion, a mix of shipping new features and refining existing ones to improve everyday development. Here’s what’s new: 𝗥𝗲𝗱𝘀𝗵𝗶𝗳𝘁 𝘀𝘂𝗽𝗽𝗼𝗿𝘁 (𝗯𝗲𝘁𝗮) Fusion now supports Redshift via user+password authentication. More auth methods are coming later this year. 𝗡𝗲𝘄 𝗰𝗼𝗺𝗺𝗮𝗻𝗱: 𝗰𝗹𝗼𝗻𝗲 You can now create zero-copy clones (or fallback views) of production objects in your development schema. This is especially useful in cases where state deferral isn’t working as expected. 𝗖𝗧𝗥𝗟+𝗖 𝘁𝗼 𝗰𝗮𝗻𝗰𝗲𝗹 Change your mind halfway through a build? Fusion will now cancel in-progress queries when you hit CTRL-C instead of running them to completion. 𝗗𝗲𝘃 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝗶𝗺𝗽𝗿𝗼𝘃𝗲𝗺𝗲𝗻𝘁𝘀 • Flags like --sample and --empty give you more control during model scaffolding • VS Code extension now includes “Refresh source schemas” and improved tooltips for multi-column expressions • Stack traces now preserve line-level context across packages, making it easier to debug and navigate errors •Improved introspection labeling and more precise error messages 𝗢𝗻𝗲 𝘀𝘁𝘂𝗯𝗯𝗼𝗿𝗻 𝗯𝘂𝗴, 𝗳𝗶𝘅𝗲𝗱 We finally tracked down the cause of a weird configuration bug - turns out Fusion was ignoring schema config overrides in packages with more than 40 models. A one-line fix once we found the problem. 𝗪𝗵𝗮𝘁’𝘀 𝗻𝗲𝘅𝘁 We’re finalizing the new authoring layer that will unify YAML validation and improve the dbt editing experience across Fusion and Core. We’re also continuing work on: • Introspective macro caching • Incremental compilation • Smarter deferral behavior This week we closed 30+ issues, released 5 new betas, and made meaningful progress toward a more reliable, powerful dbt experience. Thanks to everyone in the community who filed bugs, tested features, and helped shape the work. Read the full diary (link in comments) for more.

🌟 Applications are now open for the dbt Labs Conference Grant for Coalesce 2025 🌟 We are deeply committed to fostering inclusivity and accessibility, and we believe in the importance of creating more access to attend conferences like #dbtCoalesce. This year, we’re offering two individuals the opportunity to attend Coalesce with support for: ✅ Conference ticket ✅ Lodging ✅ Meals ✅ Partial travel costs (Full details in the application) 🗓️ Apply by August 14, 2024 at 5:00 p.m. PDT Learn more and apply: https://xmrrwallet.com/cmx.plnkd.in/gnBwuPEU

AI is redefining the enterprise data stack. In this piece for NODE, our CTO Mark Porter shares insights from the 2025 State of Analytics Engineering report, and outlines four practical ways companies can build AI-ready data stacks that prioritize trust, efficiency, and human-in-the-loop oversight. Read the full article: https://xmrrwallet.com/cmx.plnkd.in/exQzgxNt

dbt 🤝 Tableau Data teams run into the same problems: • Inconsistent pipelines • Siloed logic • Little visibility into data quality dbt’s Semantic Layer and data health tiles show up directly in Tableau, so you can: • Use governed, reusable metrics • See test results and freshness checks alongside the data The result: more trust in your dashboards, less guesswork across the board. Read the blog (link in comments) to learn more. 

What does it mean to be agentic? Is there a spectrum of agency? In this week’s episode of The Analytics Engineering Podcast, Tristan Handy sits down with Sean Falconer, Sr. Director of AI Strategy at Confluent, to discuss what truly makes software "agentic," where agents are successfully being deployed, and how to conceptualize and build agents within enterprise infrastructure. 🎧 Listen wherever you get your podcasts. New episodes drop every other Sunday.

dbt Fusion is now in public beta for teams on Redshift ⚡️ Amazon Redshift joins BigQuery, Databricks, and Snowflake as a supported platform for the dbt Fusion engine. Fusion is the fastest, most cost-efficient way to build with dbt, with support for: ✅ Up to 30x faster parsing than with dbt Core ✅ Real-time SQL feedback ✅ Built-in cost optimization via state-aware orchestration If you have eligible projects, give it a spin today: https://xmrrwallet.com/cmx.plnkd.in/gu_h4A7j

🗞 𝗧𝗵𝗲 𝗙𝘂𝘀𝗶𝗼𝗻 𝗗𝗶𝗮𝗿𝗶𝗲𝘀: 𝗪𝗲𝗲𝗸 𝗼𝗳 𝗝𝘂𝗹𝘆 𝟮𝟴 This week in dbt Fusion engine updates: • 8 beta releases • 51 issues closed • Support for exposures • A smarter default for static analysis • Databricks functions, Redshift hardening, and VSCode bug fixes • A logging bug introduced and squashed  • Strongly typed test args (finally) 🙏 Huge thanks to the dbt Community for filing bugs, pushing discussions forward, and making this work better every week. Got thoughts on UDFs, deferral, or static analysis? We’re all ears. Full diary → https://xmrrwallet.com/cmx.plnkd.in/gbsD68vd

Canvas Fundamentals is now live on the dbt Learn platform 🧠 This course is for anyone who wants to build models visually, while staying true to the things that make dbt powerful: • SQL you can version and peer review • Interoperability with Studio and VSCode • AI-enabled building with dbt Copilot Whether you're a SQL pro, a drag-and-drop enthusiast, or just dbt-curious, there’s something in here for you. Start learning: https://xmrrwallet.com/cmx.plnkd.in/geRaMjyh

We’ve got seven in-person dbt Meetups scheduled 🚀 If you’re looking for opportunities to learn with fellow members of the dbt Community, and have fun while doing so, join us at one of the Meetups listed below: 🇹🇼 Taipei | Wednesday, July 30th, organized by Karen Hsieh, Laurence Chen, Allen Wang, and LI KUAN LIAO 🇳🇿 New Zealand | Thursday, July 31st, organized by dbt Labs (Joel Labes) 🇹🇼 Taipei | Thursday, August 28th, organized by Karen Hsieh, Laurence Chen, Allen Wang, and LI KUAN LIAO 🇫🇮 Helsinki | Thursday, August 28th, organized by twoday 🇮🇪 Dublin | Thursday, September 4th, organized by dbt Labs (Ernesto Ongaro) 🇨🇿 Prague | Tuesday, September 16th, organized by MSD Czech Republic 🇩🇪 Northern Germany | Thursday, September 18th, organized by Oliver Cramer and dbt Labs (Stephan Durry) RSVP and tag a friend in the comments to join you 👯♂️ https://xmrrwallet.com/cmx.plnkd.in/ekknesFN

We’ve deepened our collaboration with Amazon Web Services (AWS) 🎉 A new strategic agreement expands integrations across Amazon Redshift, Amazon Athena, and Amazon SageMaker Lakehouse, and makes dbt even easier to access via AWS Marketplace. What this means for data teams: ⚡ Faster time to value 🧱 More flexibility 🤖 A stronger foundation for AI Teams like Culture Amp are already using dbt + AWS to move faster and make better decisions. Now, it’s even easier. Read more: https://xmrrwallet.com/cmx.plnkd.in/gytUCYsj