Demo Dive Series
Understanding where compute spend originates can be challenging, especially as pipelines scale across jobs, nodes, and environments. What if cost visibility—and data quality insights—were built directly into the way your data platform operates?
In this Demo Dive, we’ll show how to monitor compute cost powered by Coalesce query tags and Snowflake’s native query attribution. We’ll also highlight how Coalesce Quality complements this visibility by helping teams ensure that the data they’re investing in is reliable, monitored, and trustworthy. See how teams can track spend with precision, attribute costs to specific workloads, and connect cost insights to data quality outcomes—all without relying on disconnected tools.
Join us for a hands-on walkthrough of how integrated cost and quality monitoring enables better financial governance, faster optimization, and more reliable data products.
You’ll learn how to:
- Track compute cost across jobs and nodes using a rolling 7-day aggregation model
- Leverage Coalesce query tags to attribute spend to specific pipelines and workloads
- Use Snowflake query attribution to gain granular visibility into resource consumption
- Identify cost drivers and optimization opportunities in near real-time
- Build a foundation for proactive cost governance within your data platform
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