Coalesce 2024: How SurveyMonkey sharpens dbt performance and governance with data observability
Join Samiksha in this informative session as she walks through how her team uses dbt and their data observability platform Monte Carlo to ensure proper governance, gain efficiencies by eliminating duplicate testing and monitoring, and use data lineage to ensure upstream and downstream continuity for users and stakeholders.
The data team at SurveyMonkey, the global leader in survey software, oversees heavy data transformation in dbt Cloud — both to power current business-critical projects, and also to migrate legacy workloads. Much of that transformation work is taking raw data — either from legacy databases or their cloud data warehouse (Snowflake) — and making it accessible and useful for downstream users.
And to Samiksha Gour, Senior Data Engineering Manager at SurveyMonkey, each of these projects is not considered complete unless the proper checks, monitors, and alerts are in place. Join Samiksha in this informative session as she walks through how her team uses dbt and their data observability platform Monte Carlo to ensure proper governance, gain efficiencies by eliminating duplicate testing and monitoring, and use data lineage to ensure upstream and downstream continuity for users and stakeholders.
Speaker
Samiksha Gour, Senior Data Engineering Manager SurveyMonkey