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 and Implement Data Security

Design and Implement Data Security

Key Concepts

Data Encryption

Data encryption is the process of converting data into a secure format that cannot be easily understood by unauthorized users. This ensures that even if data is intercepted, it remains confidential and secure. Azure provides various encryption options, including Azure Storage Service Encryption (SSE) for data at rest and Azure TLS/SSL for data in transit.

Think of data encryption as placing your sensitive documents in a locked safe. Only those with the key (or decryption key) can access the contents, ensuring that the information remains secure from unauthorized access.

Access Control

Access control involves managing who can access specific data and what actions they can perform. This includes defining roles and permissions to ensure that users only have access to the data they need. Azure Active Directory (AAD) and Role-Based Access Control (RBAC) are key tools for implementing access control in Azure.

Consider access control as setting up a gated community. Only residents with the appropriate credentials (like a keycard or passcode) can enter, ensuring that the community remains secure and that only authorized individuals can access specific areas.

Data Masking

Data masking is the process of obscuring specific data fields to prevent unauthorized access while still allowing the data to be used for testing, development, or other non-production purposes. Azure SQL Database provides dynamic data masking to help protect sensitive information.

Think of data masking as blurring sensitive information on a document before sharing it with others. This ensures that the critical details remain hidden, while the overall context and non-sensitive information are still accessible.