Media — User Data Governance in Streaming Systems

Overview

The purpose of this DAG is to establish a robust data governance framework for user data within media streaming platforms, ensuring compliance with data protection regulations such as GDPR. The architecture ingests access and usage data from various sources, including user logs and consent records. The ingestion pipeline begins with the collection of data from streaming service access logs, user consent databases, and system audit trails. The processing steps include auditing access logs to iden

The purpose of this DAG is to establish a robust data governance framework for user data within media streaming platforms, ensuring compliance with data protection regulations such as GDPR. The architecture ingests access and usage data from various sources, including user logs and consent records. The ingestion pipeline begins with the collection of data from streaming service access logs, user consent databases, and system audit trails. The processing steps include auditing access logs to identify any unauthorized access attempts, managing user consent to ensure proper data usage, and implementing data masking policies to protect sensitive information. In the event of non-compliance, the system generates alerts for prompt intervention by data governance teams. The outputs of this DAG include compliance reports, access audit summaries, and consent management logs. Monitoring key performance indicators (KPIs) such as the number of compliance violations, user consent status, and access audit results is critical for maintaining data governance standards. The business value lies in minimizing legal risks, enhancing user trust, and ensuring that the streaming service adheres to stringent data protection laws, ultimately leading to a more secure user experience.

Part of the Supply/Demand Forecast solution for the Media industry.

Use cases

• Reduces risk of data breaches and legal penalties
• Enhances user trust through transparent data practices
• Improves compliance with evolving data regulations
• Streamlines data governance processes for efficiency
• Facilitates better decision-making with accurate data insights