Coforge's Data Cosmos Data Lineage Generator

Data Lineage Generator is a Coforge Data Cosmos accelerator that automates end-to-end data lineage discovery and visualization across Azure data platforms — revealing upstream/downstream dependencies, transformation paths, and system touchpoints for faster impact analysis, stronger governance, and higher data trust. Part of Coforge Data Cosmos™ — the innovation backbone combining platforms, agentic accelerators, and services for end-to-end data engineering, BI, governance, and analytics on Azure — it delivers transparent source-to-report traceability across enterprise data estates on Azure Synapse, Microsoft Fabric, and Azure Data Lake.

Core Capabilities: • Automated Discovery – scans datasets, jobs, queries, and schemas to infer lineage across source, integration, warehouse, and analytics layers • Transformation Mapping – extracts SQL/ETL logic for column-level and table-level lineage including joins, filters, aggregations, and calculations • Continuous Lineage Refresh – incrementally updates lineage graphs with versioning and change history • Impact & Root-Cause Analysis – traces breakpoints upstream and downstream to identify all affected reports, models, and consumers • Visualization & Export – interactive lineage views at system, dataset, and field levels with export to Microsoft Purview and other catalogs • Policy & Governance Hooks – tags sensitive fields, embeds classifications, and links quality thresholds to lineage nodes

Business Benefits: faster change management through downstream impact assessment, reduced operational risk via early detection of lineage breaks, better collaboration through shared visual data flows, higher trust via transparent traceability, and lower maintenance through centralized lineage intelligence on Azure.

Key Use Cases: • Banking – end-to-end lineage from core banking through Azure Data Factory ETL to regulatory reports (BCBS 239, CCAR); audit-ready for OCC and Fed exams • Insurance – lineage across claims, policy admin, and actuarial systems on Azure Synapse supporting Solvency II evidence requirements • Travel – lineage from GDS booking feeds through Azure pipelines to Power BI revenue dashboards with feed-change impact analysis • Healthcare – clinical data lineage from EMR/EHR to CMS quality submissions with HIPAA PHI flow traceability on Azure

The 8-week implementation engagement covers: discovery and metadata scanning, platform deployment on Azure (AKS, Azure SQL, Microsoft Purview integration), connector configuration across databases/ETL/BI including Azure Data Factory and Azure Synapse, transformation mapping setup, continuous refresh enablement, impact analysis and visualization configuration, catalog/governance integration, and knowledge transfer to your Azure data teams.

Target Audience: Data Governance & Stewardship Teams, Data Engineering & Platform Teams, Compliance & Risk Officers, Data Architects, and Analytics & BI Leaders adopting or extending Microsoft Azure.