1. Introduction
Data governance ensures that data is managed securely, efficiently, and in compliance with regulations. This plan outlines the policies and procedures for handling data in cloud environments.
2. Objectives
- Ensure data security, privacy, and compliance.
- Standardize data access and ownership.
- Implement lifecycle management for cloud storage.
- Monitor and audit data usage effectively.
3. Data Classification & Ownership
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Data Categories:
- Public Data
- Internal Data
- Confidential Data
- Highly Sensitive Data
- Data Owners: Assign stakeholders for accountability.
- Data Stewards: Manage access permissions and quality.
4. Data Security & Access Control
- Implement Role-Based Access Control (RBAC) using AWS IAM, Azure RBAC, or GCP IAM.
- Use encryption for data at rest and in transit via AWS KMS, Azure Key Vault, or Google Cloud KMS.
- Enforce Multi-Factor Authentication (MFA) for privileged users.
5. Compliance & Regulatory Adherence
- Align with industry standards (GDPR, HIPAA, SOC 2, PCI-DSS).
- Conduct periodic compliance audits using AWS Audit Manager, Azure Compliance Manager, or Google Security Command Center.
- Maintain data sovereignty by selecting appropriate cloud regions.
6. Data Lifecycle Management
- Define retention periods for different data types.
- Automate archiving and deletion with AWS S3 Lifecycle Policies, Azure Blob Storage Tiers, or Google Cloud Storage Classes.
- Implement backup and disaster recovery strategies with versioning and replication.
7. Monitoring & Auditing
- Enable logging and monitoring using AWS CloudTrail, Azure Monitor, or Google Cloud Logging.
- Set up real-time alerts for unauthorized access and anomalies.
- Schedule periodic data access reviews.
8. Data Quality & Integrity
- Implement ETL pipelines using AWS Glue, Azure Data Factory, or Google Dataflow.
- Validate data integrity with automated checks and error detection.
- Establish a single source of truth for critical datasets.
9. Incident Response & Risk Management
- Develop a response plan for data breaches.
- Automate security policies using Policy-as-Code (Terraform, AWS Config Rules).
- Conduct regular penetration testing and vulnerability assessments.
10. Continuous Improvement & Review
- Review governance policies quarterly.
- Conduct training sessions for stakeholders.
- Adapt governance strategies based on industry trends and compliance updates.
This Data Governance Plan ensures structured, secure, and compliant data management in cloud-based projects. Implementation of these best practices will enhance data security, regulatory adherence, and operational efficiency.
Happy Learning !!!