dbt Labs

🌟 Applications are now open for the dbt Labs Conference Grant for Coalesce 2024 🌟 At dbt Labs, we are deeply committed to fostering inclusivity and accessibility and we believe in the importance of creating more access to attend conferences like Coalesce. That’s why the dbt Labs Conference Grant, sponsored generously by Lightdash and Zenlytic, will be offering two individuals the opportunity to have costs of attending Coalesce covered including: a ticket to the conference, lodging, meals, and some travel costs (see FAQ in application for more details). Apply by August 15, 2024 5:00 p.m. PDT. For more details and how to apply, check out the link in comments 👇

As your organization scales and data complexity increases, staying agile while maintaining quality, consistency and cost efficiency becomes more and more challenging. Good thing dbt Cloud now supports Microsoft Fabric. Now, Microsoft shops have a cost-effective way to accelerate data product development and leverage processes with improved data and insights. Join Jeff Mills, Alex C., Keerthana Jhutty, CRL, CSM®, and Alan Kleinert in this live webinar to learn how this new integration can help you master your data transformation. 🗓️ When: August 27 at 12:00-1:00PM CDT ✍️ What to expect: • See how dbt streamlines data workflows and enhances value from Microsoft Fabric • Learn how dbt can accelerate your move to Microsoft Fabric • Watch a demo where we use this powerful integration to help a pizza chain's executive leadership team • Learn how key features and capabilities can scale your data transformation and demonstrate value to decision-makers • Hear how other businesses have improved their data strategies with these platforms Reserve your spot today: https://lnkd.in/gYeb3Ngd

What's new in dbt Cloud (spoiler alert: A LOT) 📈 dbt Semantic Layer • Access controls: Federate access for specific teams. Group-level controls now GA for Enterprise customers. • Integrations: Microsoft Excel integration in Preview. Available for Excel Online and Desktop. • Declarative caching improvements: Now supports query time filters for faster data delivery. • Cumulative metrics now support granularity options: Flexible aggregation options for different grains. • Python SDK: Easily interact with APIs and query metrics using Python. • Metrics in CI: Automatically test semantic nodes during code reviews. 🔎 dbt Explorer • New landing page: Improved view of project context, changes, and issues. Better filtering and sorting. • Navigate from the Cloud IDE into Explorer: Seamlessly navigate between Cloud IDE and dbt Explorer. 🏃♂️ Developer Productivity • Environment-aware dbt snapshots: Configurable snapshots for different environments, enhancing testing and development. • Custom data test configurations: Use any custom config key to specify custom configurations for data tests. • Parallel command execution: Run multiple dbt commands simultaneously. • SQLFluff commands: Lint your SQL files for consistency and readability. • Notifications for warnings: Get Slack or email notifications for job run warnings. ☁️ Platform & Partner Updates • Support for Azure deployments: Native support for multi-tenant Azure deployments, currently in Preview. • New dbt Cloud UX: Updated navigation and account homepage for a more intuitive experience. • Environment-level permissions: Granular control over job access in different environments. • MFA: Multi-factor Authentication for enhanced account security. • IAM User authentication: Available for Amazon Redshift with "Versionless" dbt Cloud. • PATs reduced in scope: Limited scope and duration for Personal Access Tokens in Azure DevOps integration. • Snowflake Polaris integration: dbt as an integration partner for Snowflake Polaris Catalog launch. Clearly, our product teams are 👏 shipping 👏. Dive even deeper into each of these updates at the blog in comments.

Join dbt Labs Co-founder Drew Banin and data leaders Andrew Foster, CFA and Karthik Ravindran on August 14 and explore what defines excellence in data management amidst the AI revolution.

Is somebody gonna match my freak? (posting data memes in the dbt community) Join the dbt community to:  • network with other data humans like you • get your questions answered • knowledge share • laugh at memes only data people get Link in comments below 👇

”I’ve been to a lot of data conferences. There’s no conference like Coalesce.” Get ready to level up your skills, network with other data humans, and learn directly from data leaders at companies like Figma, Workday, Cisco, Atlassian, and more. It all happens October 7-10. Learn more and register at the link in comments below.

Announcing the next cohort of the Community Spotlight 🥳 This program showcases individuals from all over the world who have made outstanding contributions for the benefit of others. The recipients of the dbt Community Award demonstrate what it means to be an advocate within the dbt community, by displaying collaboration, expertise, creativity and leadership. This round, we are featuring Mikko Sulonen, Meagan Palmer, and Radovan Baćović. You can learn about their backgrounds, their plans to grow as leaders, and their experiences—both learning from others and sharing their own knowledge—at https://hubs.li/Q028VZv50. Let’s give them a round of applause 👏👏👏 If you’re interested in being selected for future rounds, learn more about becoming a contributor at https://hubs.li/Q028W2Mg0.

What used to be a struggle (even for the largest and most complex orgs), is now table stakes: A modern data-stack that enables analytics-powered workflows at scale. What’s next: Redefining what it means to work with data, now that we know how it unlocks these mature workflows. ICYMI, catch the full webinar with Jason Ganz, Lauren Benezra, and Ian Macomber as they dig into insights like this from the 2024 State of Analytics Engineering Report. See link in comments ⬇️

🎙️ In the latest episode of The Analytics Engineering Podcast, Tristan Handy sat down with Yohei Nakajima to talk about the rapid experimentation of AI agents. Yohei, an investor by day and coder by night, built an AI agent framework called BabyAGI that creates a plan-execute loop. If you give it a goal, it will create a plan to achieve this goal, and then go execute on this plan. In this clip from the podcast, Yohei breaks down 3 buckets of AI agents and their impact on our future. Listen to the whole episode at the link in comments 🔗

The ecosystem continues to evolve, and we're proud to be a launch partner with Snowflake on the open sourcing of Polaris Catalog 🚀