Telecom — Data Lineage Tracking for Compliance
NewThis DAG tracks data lineage across various organizational systems to ensure compliance. It ingests, normalizes, and enriches metadata, providing clear visibility into data origins.
Overview
The purpose of this DAG is to provide comprehensive data lineage tracking within the telecommunications industry, ensuring compliance with regulatory standards. It ingests metadata from diverse sources, including customer databases, billing systems, and network logs. The ingestion pipeline processes this data by normalizing formats and enriching it with additional context, such as data ownership and modification history. Quality controls are applied throughout the process to validate the accurac
The purpose of this DAG is to provide comprehensive data lineage tracking within the telecommunications industry, ensuring compliance with regulatory standards. It ingests metadata from diverse sources, including customer databases, billing systems, and network logs. The ingestion pipeline processes this data by normalizing formats and enriching it with additional context, such as data ownership and modification history. Quality controls are applied throughout the process to validate the accuracy and integrity of the information, ensuring that any discrepancies are flagged and addressed. The processed lineage data is then stored in a centralized lineage registry, which serves as a reliable source for compliance audits. Outputs include detailed reports and visualizations that facilitate understanding of data provenance, making it easier for stakeholders to trace data back to its origin. Monitoring KPIs include data accuracy rates, lineage completeness, and processing times, which help in assessing the effectiveness of the pipeline. The business value of this DAG lies in its ability to enhance transparency, reduce compliance risks, and improve decision-making processes by providing clear insights into data flows across the organization.
Part of the Enterprise Search solution for the Telecom industry.
Use cases
- Ensures compliance with industry regulations
- Reduces risk of data mismanagement
- Enhances transparency in data handling
- Improves operational efficiency through better insights
- Facilitates informed decision-making across departments
Technical Specifications
Inputs
- • Customer databases
- • Billing systems
- • Network logs
- • Data warehouse metadata
- • Regulatory compliance documents
Outputs
- • Centralized lineage registry
- • Compliance audit reports
- • Data provenance visualizations
Processing Steps
- 1. Ingest metadata from various sources
- 2. Normalize data formats for consistency
- 3. Enrich data with contextual information
- 4. Apply quality control checks on data
- 5. Store processed data in lineage registry
- 6. Generate compliance reports and visualizations
Additional Information
DAG ID
WK-0508
Last Updated
2025-09-30
Downloads
44