Coalesce 2022 Replay Tracks: Scaling data teams
If your organization is growing, or already facing enterprise-scale challenges, this collection of Coalesce 2022 talks can help you navigate changes to team structure, expanding data use cases, and leveling up your infrastructure and development workflows.
Module 1: Team and Stakeholder Relations (1 hr 35 mins)
The work required to manage a growing set of data deliverables is related, but distinct from the work required to manage a growing set of data deliverers. These sessions can help you tune your approach to working productively across teams, setting a path for growth, and leading with empathy.
- Finding common ground, to build common ground: dbt at the enterprise (31 mins)
- How to build data accessibility for everyone (16 mins)
- Empathy-building in data work (25 mins)
- From Data Magician to Data Coach (23 mins)
Looking for more resources? Try these:
- Founding an Analytics Engineering Team, Nate Sooter
- To All The Data Managers We’ve Loved Before, Netlify, Coalesce 2021
- How to Structure Your Data Team for Maximum Influence, Shopify
Module 2: Change Management (2 hrs)
As an organization scales in size and complexity, so too do demands on its data. If your team is in the middle of pivoting to address new use cases, refining delivery mechanisms, or introducing new ways of connecting distributed work, these sessions may help.
- Data Change Management: Lessons Learned at Vouch (27 mins)
- When analysts outnumber engineers 5 to 1: Our journey with dbt at M1 (29 mins)
- Navigating data consolidation after M&A (29 mins)
- When sparks fly: How a post-merger 1,000+ person company founded a data team (31 mins)
Looking for more resources? Try these:
- Don’t just run your data team like a product team, run it like a company that needs to scale, Emily Thompson
- Change Management Strategies for Data & Analytics Transformations, Domino Data Lab podcast with Michal Levitzky, Head of Data & Analytics @Migdal Group.
- What to Look for When Scaling Your Data Team, Sheel Choksi
Module 3: How-To’s from Enterprise Data Teams (3 hrs)
After his keynote presentation at Coalesce 2022, Ken Lewen of General Mills heard a common refrain — “Good to see change can actually happen at this scale.” If you’re in the same boat, sometimes all it takes is knowing you’re not alone. The following talks from enterprise orgs cover everything from cross-org buy-in to building petabyte scale infrastructure.
- How Cisco powers its modern ELT approach with Fivetran and dbt Labs (21 mins)
- How the Content Analytics team at Spotify avoids data indigestion in BigQuery with dbt (28 mins)
- Petabyte-scale lakehouses with dbt and Apache Hudi at Apple (28 mins)
- Unlocking analytics engineering at scale - Aritzia (22 mins)
- Automating CI/CD in dbt Cloud: Sunrun’s story (27 mins)
- Democratizing data at Zillow with dbt, Airflow, Spark, and Kubernetes (26 mins)
- Snowflake yourself: Using dbt for Snowflake access control management at SpotOn (26 mins)
Looking for more resources? Try these:
- Lessons Learned From Running Apache Airflow at Scale, Shopify
- Taking off with dbt: JetBlue’s dbt journey, Coalesce 2020
For even more Coalesce talks, be sure to check out the dbt YouTube channel
Last modified on: Sep 25, 2023
