In this episode, we're going to do something a little different, and turn the spotlight on co-host Julia Schottenstein. In this conversation with Tristan, you'll get to know Julia a bit—from her early childhood ambitions of becoming a "computer tycoon" (adorable!), to working in venture at NEA and now as a Product Manager at dbt Labs. They also dive into Julia's opinions on key trends shaping the future of the data industry (the phrase oligopoly makes an appearance). For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Brian Amadio is a Data Platform Engineer at Stitch Fix, where experimentation underpins everything they do across merchandising, planning, forecasting, operations and more.  In this conversation with Tristan, Julia, and Brian you'll get into the weeds of executing multi-armed bandit experiments and learn how you can perform experiments even with limited data.  For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Step with Venkat into a world where data is always fresh, queries run in 1ms, and analytics engineers build web-scale, real-time data apps. As Engineering Director at Facebook, Venkat helped build the RocksDB real-time database that powered growth to 5 billion queries per second(!)—and now with his colleagues at Rockset, he's bringing that real-time database infrastructure to the rest of us. In this conversation, Tristan, Julia and Venkat explore the fundamental technological advances that are empowering analytics engineers to enter the real-time future. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Robert Chang is a product manager for the data platform at Airbnb, where he helped build and roll out Minerva, Airbnb's internal metrics store. They use Minerva to track over 12,000(!) metrics and 4,000(!) dimensions with consistency across the organization. In this conversation with Tristan and Julia, Robert dives into why they built it, what it took to get it done—and crucially, what you should do if your company doesn't have the resources to build your own internal metrics store. For full show notes and to read 6+ years of back issues of the podcast's companion newsletter, head to https://roundup.getdbt.com. The Analytics Engineering Podcast is sponsored by dbt Labs.

Considering that the role of Analytics Engineering has emerged in the last few years within data and analytics teams, it is important for me to highlight what role an Analytics engineer has and how the Dos and Don’ts from my perspective can contribute to a team and boost their day-to-day work with the help of Airflow.

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.