Data & Automation
Inside a Data Observability Platform: The Four Phases That Turn Telemetry Into Trust
A modern data observability platform operates as a four-phase pipeline: collection, ingestion, storage, and query. This architecture, combined with five data health pillars—freshness, quality, volume, schema, and lineage—enables teams to monitor data pipelines and ensure reliable AI/ML workloads.
Helena Strauss·October 26, 2026
