Learn how a rapidly growing software development firm transformed their legacy data analytics approach by embracing analytics engineering with dbt and Looker. In this video, Johnathan Brooks of 4 Mile Analytics outlines the complementary benefits of these tools and discusses design patterns and analytics engineering principles that enable strong data governance, increased agility and scalability, while decreasing maintenance overhead.

At many organizations, dbt and the competency of Analytics Engineering are introduced well after the establishment of an analytics team. It's easy to agree in principal with all the benefits and value added by this new tool and analytics practice, but getting there can be a challenge. As with most tool implementations or team restructuring, there is often a long, painful transition from whatever was being done previously to the new future.

In this presentation we'll learn from Andres Recalde's experience implementing analytics engineering practices in both a greenfield situation (La Colombe) and his current successes (and failures!) of implementing analytics engineering at an already established organization (goPuff).

dbt defined an entire new subspecialty of software engineering: Analytics Engineering. But it is one discipline among many: analytics engineers must collaborate with data scientists, data engineers, and data platform engineers to deliver a cohesive data platform. In this video, Nick Schrock of Elementl talks about how orchestrating dbt with Dagster allows you to place dbt in context, de-silo your operational systems, improve monitoring, and enable self-service operations.

Drew Banin, Chief Product Officer and Co-Founder of Fishtown Analytics, reflects on Coalesce 2020, the first (virtual) analytics engineering conference.