Hey all, blob wave We know that a lot of you use dbt dbt and some are considering it, so you probably heard of their Analytics Engineering Conference, Coalesce. Here are 3 talks we thought were very interesting in regards to building reliable data products: 1. Automating Ambiguity: Managing dynamic source data using dbt macros - Eric Nelson, Analytics Engineer, explains how Mattermost used dbt to automate dealing with changing schemas of dynamic sources (in their case product analytics). 2. Operationalizing Column-Name Contracts - Emily Riederer, Analytics Manager, introduces a concept of using convention for column names to embed both meaning and expectations. She explains how it creates a shared understanding and enables automating data quality processes throughout the stack. 3. Observability Within dbt - Snapcommerce data team on how they leveraged dbt artifacts for monitoring their operation. This is a very practical talk, which is relevant if you are using/considering to use dbt. On our end we are working on some big changes that we will share soon. 🙏 I want to thank those of you who had calls with us and helped with our research, we can't tell you how much we appreciate your inputs! 🤩 For our new members - We would be very happy to talk to all of you, so if you are open for a call DM me or @Or Avidov!