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 Access Controls

Design Data Access Controls

Designing data access controls is a critical aspect of ensuring data security and compliance in Azure. This involves defining who can access what data, under what conditions, and using which methods. Effective data access controls help protect sensitive information, prevent unauthorized access, and maintain data integrity.

Key Concepts

To design robust data access controls, it's essential to understand the following key concepts:

Authentication

Authentication is the first step in securing data access. It involves verifying the identity of users or systems before allowing them to access data. Azure supports multiple authentication methods, including passwords, multi-factor authentication (MFA), and Azure Active Directory (AAD).

Example: A financial institution might require users to authenticate using a combination of a password and a one-time code sent to their mobile device to access sensitive customer data.

Authorization

Authorization determines what authenticated users are allowed to do. It involves granting or denying access to specific resources based on the user's identity and permissions. Azure provides fine-grained authorization controls through Azure Role-Based Access Control (RBAC).

Example: In a healthcare system, a doctor might be authorized to view and update patient records, while a receptionist might only be authorized to view basic patient information.

Role-Based Access Control (RBAC)

RBAC is a method of regulating access to resources based on the roles of individual users within an organization. Azure RBAC allows you to define roles with specific permissions and assign these roles to users or groups. This simplifies access management and ensures that users have the appropriate level of access.

Example: An e-commerce platform might define roles like "Admin," "Manager," and "Customer Support." Each role would have specific permissions, such as the ability to manage products, view sales reports, or respond to customer inquiries.

Data Encryption

Data encryption is the process of converting data into a secure format to protect it from unauthorized access. Azure provides various encryption options, including encryption at rest, encryption in transit, and client-side encryption. Encryption helps ensure that even if data is intercepted, it cannot be read without the proper decryption key.

Example: A government agency might encrypt sensitive documents stored in Azure Blob Storage to prevent unauthorized access, even if the storage account is compromised.

Audit and Monitoring

Audit and monitoring involve tracking and logging access to data to detect and respond to security incidents. Azure provides tools like Azure Monitor and Azure Security Center to monitor data access and generate alerts for suspicious activities. Regular audits help ensure compliance with regulatory requirements and identify potential security vulnerabilities.

Example: A retail company might use Azure Monitor to track access to customer data and generate alerts for any unauthorized attempts to access sensitive information.

By understanding and applying these key concepts, you can design effective data access controls in Azure, ensuring that your data is secure, compliant, and accessible only to authorized users.