The Failed Promises of Data Lineage: Why More Metadata Isn’t the Answer

Описание: The data world doesn’t need another lineage graph—it needs understanding. Today’s tools overload teams with metadata but lack context for decisions and action. This session introduces a reasoning layer that unifies OpenLineage, OpenTelemetry, and LLMs to turn raw lineage and telemetry into one continuous, actionable context.​

See how an observability-first Telemetry Lake correlates data movement with system behavior to detect issues, diagnose root causes, and adapt in real time. We’ll cover where lineage fell short, how correlation beats coverage, and why the first 150 characters of your stack’s signal matter most for clarity and response.​

Discover how oleander builds an always-on-call loop that proposes fixes, reduces cost and blast radius, and focuses on the nodes and edges that actually drive impact and business outcomes—without mapping every last dependency.

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00:00 Introduction to Open Source Data Lineage
03:05 Challenges in Data Lineage
05:24 The Role of OpenLineage
06:52 Understanding Metadata and Its Limitations
10:15 The Evolution of Data Lineage Standards
13:11 Integrating Telemetry with Data Lineage
15:47 The Future of Data Engineering and ML Integration
19:07 Navigating Open Source Projects: Marquez vs Oleander
22:07 Community Involvement and Future Directions