Transcript
Guest
At Coalesce, the data operating layer is the foundation where data transformation, governance, and deployment come together. It’s the shared system that defines how data is built, changed, and delivered across the organization. So what does it mean to embed data quality and observability directly into that foundation?
Armon Petrossian, Coalesce CEO & Co-founder, sits down with Petr Janda, SYNQ CEO & Founder, to discuss Coalesce’s acquisition of SYNQ and what it signals for the future of modern data platforms.
As environments grow more complex and AI-driven workloads raise the stakes, quality can’t be reactive and observability can’t live in a silo. Armon and Petr explore why alerts alone aren’t enough, how lineage-aware observability transforms detection and resolution, and why quality must be embedded directly into the workflows that create and ship data.
Join the conversation on platform evolution, architectural philosophy, and what it takes to build systems where teams move fast and move with confidence. Whether you’re a data engineer, platform leader, or executive navigating accelerating change, this episode offers a grounded perspective on closing the gap between how data is built, observed, governed, and trusted.
In this episode:
- Why data quality and observability can’t live downstream anymore
- What the data operating layer is and why it’s becoming foundational for proactive data teams
- The difference between monitoring, testing, and true lineage-aware observability
- How impact analysis transforms incident response
- Why AI workloads raise the bar for trust, visibility, and governance
- What customers can expect from Coalesce Quality
Hosts
