Your Data is Ugly and That’s Ok.
Stop wasting engineering time acting as a "schema gardener." Discover how a Structure-on-Query architecture lets you ingest messy, critical security data first and ask questions when they actually matter
June 30, 2026 | 11 A.M. PT | 30 Minute Webinar
You Don't Always Get to Choose Your Security Data
Some of the ugliest data is the most critical. Today's threats hide in a chaotic mix of logs, network traffic, endpoint telemetry, multiline stack traces, and binary formats like NetFlow.
The problem? Legacy SIEMs weren't built for this volume or variety. They force data into a Structure-on-Ingest model, meaning you have to parse, map, and normalize everything before it becomes useful. And valuable data that can’t be normalized? It’s simply dropped.
Hidden operational debt is costing your team:
- Blind spots from dropped data
- The parser trap: one minor format change can completely break your ingestion pipelines
- Wasted processing & compute
What You'll Learn
Flip the Model: Ingest First, Decide Later
Join Mike Wade, VP of Customer Success at Gravwell, for a breakdown of how a proprietary time-series data lake eliminates upfront normalization. Learn how to maintain full data fidelity, drastically reduce parser overhead, and empower your security operations to adapt instantly when data formats change.
Key Takeaways
- The Structure-on-Query advantage
- Handling the "gross" data
- Eliminating storage expansion
- Watch Gravwell handle malformed logs, showing you how to explore older data without being locked into yesterday’s assumptions
Mike Wade
VP, Customer Success at Gravwell
Mike leads customer success at Gravwell, helping enterprise scale organizations conquer their log and data management challenges. He specializes in empowering Security and IT professionals with the tools they need to achieve powerful threat hunting and deep incident investigation.