Blog Coalesce 2022 Replay Tracks: For the Emerging Analytics Engineer

Coalesce 2022 Replay Tracks: For the Emerging Analytics Engineer

October 28, 2022 Opinion
Lauren Craigie
Coalesce wrapped last week with more than 120 community-led sessions covering the newest tools and tactics in data. While many speakers had deep experience in analytics engineering and dbt—most attendees did not! If you're just getting up to speed in this space, check out this selection of talks for the emerging analytics engineer. Read now
Coalesce 2022 Replay Tracks: For the Emerging Analytics Engineer

LinkedIn status from Alan Johnson that reads: Just getting home from #dbtCoalesce, probably the best conference experience I've ever had. Being new to the data world, it has supercharged by development. The community of people was diverse, and so welcoming. I'm looking forward to Coalesce 2023 already.

Coalesce wrapped last week with more than 120 community-led sessions covering the newest tools and tactics in data. While many speakers had deep experience in analytics engineering and dbt — most attendees did not!

In fact, only half of all Coalesce registration emails are tied to dbt Slack accounts, and of that group, 70% only joined in the last year! It’s no wonder that “Zero to dbt” drew the largest attendee count—second only to the keynote. So, if you’re new to this space, you’re in good company! But if you’re looking to fast track your progression, this collection of talks (plus bonus resources!) is a great place to start.

Below you’ll find three “tracks” to help you understand the analytics engineering workflow, build foundational frameworks, and assemble your stack.

Module 1: Role and workflow understanding (2 hrs)

Still have questions about what analytics engineering actually is, and how to communicate it to others? Start here. This module is especially useful for members of the data team looking for a crash course in what it might take to redefine their roles.

Looking for more help? Check out these resources:

Module 2: Building foundational frameworks (2 hrs 45 mins)

If you’re ready to bring analytics engineering to your team (even if you’re a team of one!) this module will show you have to develop baseline skills, frameworks, and best practices to ensure success at scale.

Looking for more help? Check out these resources:

Module 3: Choosing your tooling (3 hrs minus workshops)

You’re ready to get moving, but there’s one more set of decisions you’ll need to make. Which tooling will support the structure you’ve established for your team? Or alternatively, which tooling will change how you’ve thought about structuring your team? This module includes talks that shed some light on several layers of the modern data stack.

Looking for more help? Check out these resources:

Phew! That was a lot, but there’s still many more sessions waiting for you on the dbt YouTube channel, if you’re keen to keep going!

Last modified on: Dec 6, 2023

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