dbt Labs

If your group chat isn’t responding to your data memes, we have just the new internet friends for you. The dbt Community is a place to get your questions answered, learn about jobs, and of course share memes like these community-submitted gems below. Next week you can experience the community live…from your computer. Register for Coalesce online here 👉 https://bit.ly/3M5FMlP

There are two fundamental ways that AI is changing data workflows today: 1. By making it easier and faster to build new data products. It’s now simpler than ever to model, test, and document data with speed and precision. 2. By making it easier and faster to consume or analyze data. That is, making organizational data accessible to more people in more scenarios through the use of natural language interfaces. Don’t miss dbt Labs co-founder Drew Banin’s session at #Coalesce2024 on how to accelerate analytics workflows with the dbt copilot experience. There might even be a preview of exciting new AI features coming soon 👀 Join us next week in Las Vegas or online: https://bit.ly/3M5FMlP

Implementing the ADLC isn’t always smooth sailing. Your team’s skills will evolve, business priorities will shift, and new technologies will emerge. The key to success? Adaptability. Adjusting based on team skills: • Skill gap analysis: Regularly assess your team’s strengths and weaknesses. Maybe you’ve got a strong analytics engineer team but lack data visualization experts. Your ADLC compass might point towards up-skilling in the Analyze stage. • Cross-training: Encourage versatility. A data engineer dabbling in analysis can bring fresh perspectives to both roles. • Strategic hiring: Use the ADLC to guide recruitment. Identified a bottleneck in the Test stage? It might be time to bring a QA specialist on board. • Leverage external expertise: Don’t be afraid to call in reinforcements. Consultants or temporary hires can help you navigate the tricky parts of your ADLC journey. Adapting to changing business priorities: • Agile ADLC sprints: Break your ADLC journey into short sprints. This allows you to reassess and pivot more frequently based on business needs. • Priority mapping: Regularly map your ADLC activities to the current business focus. If the business suddenly pivots to customer retention, your Discover and Analyze shift to churn prediction. • Feedback loops: Establish regular check-ins with key stakeholders. Their input can help you adjust your ADLC compass before you veer off course. • Modular implementation: Treat the ADLC stages as building blocks, not a fixed sequence. You might need to jump back to Plan midway through Develop if business requirements change. For more insights, check out this blog by our head of data, Alex Welch (link in comments)

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See how teams at dbt Labs went from information overload to instant insights using the new Notion AI 👉 https://lnkd.in/g--pRQew Now, every team member can tap into the entire company’s collective knowledge. The result? Over $35k saved on their tool stack and teams that are more productive and collaborative than ever before.

dbt Cloud 🤝 Microsoft Fabric With dbt’s features built right into Microsoft Fabric, teams can simplify their analytics workflows and avoid juggling multiple tools. A blog post (link in comments) by dbt’s Jeff Mills explains how to utilize this integration to: • Use dbt Cloud to orchestrate, transform, and document data directly within the Fabric environment. • Manage data from ingestion to insights in one platform, reducing complexity. • Leverage native integrations with Fabric’s built-in security and compliance features, ensuring enterprise-level reliability. This integration also supports the Lakehouse architecture, offering both structured and unstructured data management with a single, seamless experience. For teams looking to build scalable data workflows while ensuring transparency and governance, dbt Cloud on Microsoft Fabric is a powerful solution.

packing for Coalesce like

You know the feeling… that rush when you get your hands on a new Coalesce patch. This year’s lineup is 🔥—and we’ve got some surprises in store. Save yourself from future regret. Use code Coalesce30 for 30% off registration now: https://bit.ly/3M5FMlP Which patches did you snag last year?

The Snowflake World Tour 2024 is going on a Eurotrip, and dbt Labs is along for the ride. We’d love to see you, so stop by our booth to chat about all the ways dbt+Snowflake can power your data initiatives. Register to save your spot in: 🥐 Paris  |  Tuesday, October 1st: https://bit.ly/3XDsrqu 🚲 Amsterdam | Thursday, October 3rd:  https://bit.ly/3MZUoDO 🏰  London  |  Thursday, October 10th: https://bit.ly/4dpjNBA 🎨  Berlin | Wednesday, October 16th: https://bit.ly/4gBRSRQ ⛵ Stockholm  | Thursday, October 17th: https://bit.ly/3XFk5yD