Tristan Handy — The Work Behind the Data Work

Tristan Handy is CEO and founder of dbt Labs. dbt (data build tool) simplifies the data transformation workflow and helps organizations make better decisions.Lukas and Tristan dive into the history of the modern data stack and the subsequent challenges that dbt was created to address; communities of identity and product-led growth; and thoughts on why SQL has survived and thrived for so long. Tristan also shares his hopes for the future of BI tools and the data stack.Show notes (transcript and links): http://wandb.me/gd-tristan-handy---⏳ Timestamps: 0:00 Intro0:40 How dbt makes data transformation easier4:52 dbt and avoiding bad data habits14:23 Agreeing on organizational ground truths19:04 Staying current while running a company22:15 The origin story of dbt26:08 Why dbt is conceptually simple but hard to execute 34:47 The dbt community and the bottom-up mindset41:50 The future of data and operations47:41 dbt and machine learning49:17 Why SQL is so ubiquitous55:20 Bridging the gap between the ML and data worlds1:00:22 Outro---Connect with Tristan:📍 Twitter: https://twitter.com/jthandy📍 The Analytics Engineering Roundup: https://roundup.getdbt.com/---💬 Host: Lukas Biewald📹 Producers: Cayla Sharp, Angelica Pan, Sanyam Bhutani, Lavanya Shukla---Subscribe and listen to our podcast today!👉 Apple Podcasts: http://wandb.me/apple-podcasts​​👉 Google Podcasts: http://wandb.me/google-podcasts​👉 Spotify: http://wandb.me/spotify​

Om Podcasten

Gradient Dissent is a machine learning podcast from Weights & Biases with hosts Lukas Biewald, Lavanya Shukla and Caryn Marooney. It takes you behind-the-scenes to learn how industry leaders are putting deep learning models in production at NVIDIA, Meta, Google, Lyft, OpenAI, and more.