Lineage

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Overview

Lineage in Prizm is a comprehensive system that tracks data movement, transformations, and dependencies across the entire data ecosystem. It provides visibility into where data originates, how it flows, and where it’s consumed — enabling faster incident response, confident change management, and proactive quality governance.

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Core Lineage Capabilities

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Upstream & Downstream Tracking

Prizm automatically captures and visualizes the complete journey of data:

• Upstream Analysis — Traces data back to its origins across multiple hops, identifying source systems, transformation logic, and intermediary datasets
• Downstream Impact — Maps all consumers and dependent assets affected by changes to a specific dataset or column
• End-to-End Visibility — Provides a unified view of data movement across diverse technologies, platforms, and organizational boundaries

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Root Cause & Impact Analysis

Lineage serves as a powerful troubleshooting tool:

• Issue Propagation — Traces how data quality problems cascade through pipelines and affect downstream consumers
• Change Management — Evaluates potential impacts before implementing schema changes or pipeline modifications
• Incident Response — Accelerates time-to-resolution by pinpointing failure points and affected systems during outages

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Criticality & Dependency Calculation

Prizm’s lineage engine computes metrics that quantify data relationships:

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Integration with Prizm Capabilities

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Context Enrichment

Lineage data enhances metadata with contextual information:

• Business Context — Connects technical lineage with business processes, domains, and data products
• Usage Patterns — Overlays access statistics and query patterns onto lineage paths
• Pipeline Metadata — Enriches lineage with job execution metrics, refresh frequency, and processing duration

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Cataloging Integration

• Discoverability — Enhances search and discovery by revealing related assets through lineage connections
• Data Asset Graph — Builds a comprehensive knowledge graph of all data relationships
• Impact Documentation — Automatically documents dependencies for governance and compliance

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Observability Enhancement

• Anomaly Correlation — Links anomalies across related datasets to identify common root causes
• SLA Monitoring — Traces cascading delays through pipeline dependencies
• Freshness Tracking — Monitors data currency across transformation stages

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Quality Recommendations

Lineage intelligence drives proactive quality management:

• Targeted Testing — Suggests where to implement quality checks based on criticality and impact analysis
• Preventive Monitoring — Identifies upstream assets requiring heightened monitoring to prevent downstream issues
• Pattern Recognition — Detects recurring quality issues across lineage paths to recommend systemic improvements
• Risk Prioritization — Focuses quality efforts on high-impact, high-risk data assets

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Implementation Approaches

Prizm offers multiple methods to capture and maintain lineage:

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Business Value

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Lineage Features