Reliable Pipelines, Predictable Bills: Why Settle for One Without the Other?
Dan Murphy
Director of Sales Engineering, Hevo Data
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Agenda
Somewhere along the way, data teams accepted a trade-off: pipelines that just work, or bills that you can actually forecast, pick one. So you live with the silent failures, the schema changes that break dashboards overnight, and the month-end invoice that never quite matches the data you moved. Not because it's acceptable, but because it's familiar.
In this session, we're challenging that trade-off head-on. We'll break down where pipelines fail quietly and where costs inflate invisibly and show you, live, what it looks like when your pipeline gives you full visibility into every sync, every record, and every dollar. You'll leave with a practical audit framework to pressure-test your own stack on reliability and cost predictability, whether you're evaluating tools or just want to know what you're really paying for.
What you'll learn
The Reliability vs. Predictability Myth
Why data teams feel forced to choose between stable pipelines and predictable costs.
Hidden Failure Points & Cost Drivers
Schema drift, failed records, re-syncs, and update-heavy tables that break trust and inflate bills.
Live Demo
Complete Pipeline Visibility: See real-time failure detection, recovery, schema handling, and transparent pricing in action.
The Pipeline Audit Framework + Q&A
A 7-question assessment to evaluate visibility, reliability, monitoring, and cost predictability in your stack.
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