How Nearmap Increased Analytics Velocity with Snowflake & dbt

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!

Join Jonathan Mak, to learn why Nearmap adopted a modern analytics engineering workflow using dbt, and see how Snowflake has proven to be the best cloud data platform to support that workflow.

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

How Nearmap Increased Analytics Velocity with Snowflake & dbt

This live webinar and Q&A will cover:

In Partnership with:

Thanks to our customer:

How Nearmap Increased Analytics Velocity with Snowflake & dbt

This live webinar and Q&A will cover:

In Partnership with:

Thanks to our customer: <img decoding="async" class="alignnone wp-image-86683" src="https://www.snowflake.com/wp-content/uploads/2020/05/Screen-Shot-2020-05-14-at-9.34.16-AM.png" alt="" width="200" height="81" />

Thanks to our customer: