What are the key growth factors behind modern data stacks, and how is dbt Labs positioning itself to leverage these opportunities?

The only reason we can have this conversation is because we're 10 years out from when cloud warehouses were created and launched. Moving lots and lots of data to BigQuery, Snowflake, Databricks, Redshift, and others is the norm. 

We continue to believe that more and more data will be stored in the cloud and that dbt is the layer that will help people make sense of that data and serve it to their businesses in useful ways. Most analytical workloads are for reporting and visibility purposes, but we'll see new use cases emerge as well and dbt will evolve to help serve and expand the market beyond where it is today.