Legacy data infrastructure was slowing down Nearmap’s data team: time-consuming maintenance, slow analytical queries and full model rebuilds that took up to two days to complete!
This live webinar and Q&A will cover:
- Empowering data analysts: How dbt’s SQL-based, in-warehouse transformation coupled with Snowflake’s effortless scalability eliminated the data engineering bottleneck.
- Decreasing data engineering costs: How Snowflake freed Nearmap from vacuuming, node changes, indexing, and other time-consuming data engineering work.
- Building more flexible data models: Better query performance eliminated the need for data aggregation, allowing the team to build richer, more flexible data models that still performed beautifully in Looker.
- Live Demo: dbt + Snowflake
In Partnership with:
Thanks to our customer: