Energy — Data Governance and Compliance Management Pipeline

Overview

The primary purpose of this DAG is to establish robust data governance practices within the energy sector, ensuring compliance with industry regulations. The pipeline begins by ingesting data from various sources, including energy consumption logs, regulatory compliance reports, and customer databases. Once ingested, the data undergoes a normalization process to standardize formats and enhance usability. Role-based access controls (RBAC) are then applied to restrict data access based on user rol

The primary purpose of this DAG is to establish robust data governance practices within the energy sector, ensuring compliance with industry regulations. The pipeline begins by ingesting data from various sources, including energy consumption logs, regulatory compliance reports, and customer databases. Once ingested, the data undergoes a normalization process to standardize formats and enhance usability. Role-based access controls (RBAC) are then applied to restrict data access based on user roles, ensuring that sensitive information is only accessible to authorized personnel. Additionally, sensitive data masking techniques are employed to protect confidential information, while an access log is maintained to track all data interactions, ensuring full traceability. Key performance indicators (KPIs) such as the number of unauthorized access attempts and the response time for data requests are monitored to assess the effectiveness of the governance framework. In the event of an incident, predefined recovery procedures are activated to mitigate risks and restore data integrity. This comprehensive approach not only safeguards sensitive data but also enhances operational efficiency, ensuring that the organization adheres to compliance standards while maximizing the value of its data assets.

Part of the Literature Review solution for the Energy industry.

Use cases

• Ensures compliance with industry regulations and standards
• Enhances data security and protects sensitive information
• Improves operational efficiency through streamlined data processes
• Facilitates better decision-making with reliable data access
• Reduces risk of data breaches and associated penalties