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
Implement Data Encryption

Implement Data Encryption

Data encryption is a critical aspect of securing data in Azure, ensuring that sensitive information is protected both at rest and in transit. This section will guide you through the key concepts and steps to implement data encryption effectively.

Key Concepts

Encryption at Rest

Encryption at rest refers to the protection of data that is stored physically on a storage device. This ensures that even if the physical storage is compromised, the data remains unreadable without the decryption key.

Azure provides several options for encryption at rest, including:

Example: When you store customer credit card information in Azure Blob Storage, SSE ensures that the data is encrypted and secure even if someone gains physical access to the storage device.

Encryption in Transit

Encryption in transit involves securing data as it moves between different locations, such as between a client and a server. This ensures that data cannot be intercepted and read by unauthorized parties.

Azure supports encryption in transit through protocols like:

Example: When you access a web application hosted on Azure, TLS ensures that the data exchanged between your browser and the server is encrypted, protecting your login credentials and other sensitive information.

Key Management

Key management involves the secure generation, storage, rotation, and revocation of encryption keys. Proper key management is essential for maintaining the security of encrypted data.

Azure Key Vault is a service that helps manage cryptographic keys, secrets, and certificates. It provides features like:

Example: A financial institution uses Azure Key Vault to manage encryption keys for customer data. Regular key rotation ensures that even if a key is compromised, the impact is minimized.

Encryption Algorithms

Encryption algorithms are mathematical functions used to encrypt and decrypt data. Choosing the right algorithm is crucial for ensuring the security and performance of your encryption solution.

Common encryption algorithms used in Azure include:

Example: When encrypting data at rest in Azure SQL Database, AES is used to ensure that the data is securely encrypted and can only be decrypted with the correct key.

By understanding and implementing these key concepts, you can ensure that your data is securely encrypted in Azure, protecting it from unauthorized access and data breaches.