About Me
Azure Data Engineer Associate (DP-203)
1 Design and implement data storage
1-1 Design data storage solutions
1-1 1 Identify data storage requirements
1-1 2 Select appropriate storage types
1-1 3 Design data partitioning strategies
1-1 4 Design data lifecycle management
1-1 5 Design data retention policies
1-2 Implement data storage solutions
1-2 1 Create and configure storage accounts
1-2 2 Implement data partitioning
1-2 3 Implement data lifecycle management
1-2 4 Implement data retention policies
1-2 5 Implement data encryption
2 Design and implement data processing
2-1 Design data processing solutions
2-1 1 Identify data processing requirements
2-1 2 Select appropriate data processing technologies
2-1 3 Design data ingestion strategies
2-1 4 Design data transformation strategies
2-1 5 Design data integration strategies
2-2 Implement data processing solutions
2-2 1 Implement data ingestion
2-2 2 Implement data transformation
2-2 3 Implement data integration
2-2 4 Implement data orchestration
2-2 5 Implement data quality management
3 Design and implement data security
3-1 Design data security solutions
3-1 1 Identify data security requirements
3-1 2 Design data access controls
3-1 3 Design data encryption strategies
3-1 4 Design data masking strategies
3-1 5 Design data auditing strategies
3-2 Implement data security solutions
3-2 1 Implement data access controls
3-2 2 Implement data encryption
3-2 3 Implement data masking
3-2 4 Implement data auditing
3-2 5 Implement data compliance
4 Design and implement data analytics
4-1 Design data analytics solutions
4-1 1 Identify data analytics requirements
4-1 2 Select appropriate data analytics technologies
4-1 3 Design data visualization strategies
4-1 4 Design data reporting strategies
4-1 5 Design data exploration strategies
4-2 Implement data analytics solutions
4-2 1 Implement data visualization
4-2 2 Implement data reporting
4-2 3 Implement data exploration
4-2 4 Implement data analysis
4-2 5 Implement data insights
5 Monitor and optimize data solutions
5-1 Monitor data solutions
5-1 1 Identify monitoring requirements
5-1 2 Implement monitoring tools
5-1 3 Analyze monitoring data
5-1 4 Implement alerting mechanisms
5-1 5 Implement logging and auditing
5-2 Optimize data solutions
5-2 1 Identify optimization opportunities
5-2 2 Implement performance tuning
5-2 3 Implement cost optimization
5-2 4 Implement scalability improvements
5-2 5 Implement reliability improvements
Design Data Auditing Strategies

Design Data Auditing Strategies

Key Concepts

Data Access Logging

Data access logging involves recording every instance of data access, including who accessed the data, when it was accessed, and what actions were performed. This helps in tracking data usage and detecting unauthorized access attempts. Azure provides tools like Azure Monitor and Azure SQL Database Auditing for comprehensive data access logging.

Example: A financial institution might log every access to customer transaction data. If a user attempts to access data outside their usual scope, an alert can be triggered for further investigation, ensuring data security and compliance.

Change Tracking

Change tracking involves monitoring and recording changes made to data over time. This includes tracking modifications, deletions, and additions to data records. Change tracking helps in understanding the evolution of data and identifying any unauthorized or suspicious changes. Azure SQL Database provides built-in change tracking features.

Example: In a healthcare system, change tracking can log modifications to patient records. If a change is made to a patient's medical history, the system can record who made the change, when it was made, and what the change was, ensuring accountability and data integrity.

Compliance and Regulatory Auditing

Compliance and regulatory auditing involve ensuring that data handling practices meet industry standards and legal requirements. This includes regular audits to verify that data is being managed according to regulations such as GDPR, HIPAA, or SOX. Azure provides features like Azure Policy and Azure Security Center to help organizations meet compliance requirements.

Example: A multinational corporation might conduct quarterly audits to ensure that their data handling practices comply with GDPR. Azure Policy can be used to enforce data residency rules, ensuring that personal data is stored and processed only within the EU, meeting GDPR requirements.

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