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 Storage Solutions

Implement Data Storage Solutions

Key Concepts

Choosing the Right Azure Storage Service

Selecting the appropriate Azure storage service is crucial for optimizing performance and cost. Azure offers various storage solutions such as Azure Blob Storage, Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB. Each service is tailored for specific data types and access patterns.

For instance, Azure Blob Storage is ideal for storing unstructured data like images and videos, while Azure SQL Database is suitable for structured data with complex queries. Azure Cosmos DB is perfect for globally distributed applications requiring low latency and high throughput.

Configuring Storage Accounts

Storage accounts in Azure provide a unique namespace for your data. When configuring a storage account, you need to consider factors like performance tiers (Standard or Premium), redundancy options (LRS, GRS, RA-GRS), and access tiers (Hot, Cool, Archive). Proper configuration ensures data availability, durability, and cost-efficiency.

Think of a storage account as a secure vault where you can store your valuable data. The configuration settings determine how secure, accessible, and cost-effective your vault will be.

Implementing Data Partitioning and Sharding

Data partitioning and sharding are techniques to distribute data across multiple storage units to improve performance and manageability. Partitioning involves dividing a large dataset into smaller, more manageable pieces based on a specific criterion, such as date or location. Sharding, on the other hand, splits data horizontally across multiple databases or servers.

An analogy would be a large company with multiple departments. Each department handles its own set of tasks and reports, making it easier to manage and scale operations.

Setting Up Data Replication and Redundancy

Data replication and redundancy ensure high availability and disaster recovery. Replication involves creating multiple copies of data across different locations or servers. Redundancy ensures that critical data is stored in multiple places to prevent data loss in case of hardware failure or other issues.

Consider a backup generator in a hospital. It ensures continuous power supply even if the main power source fails, similar to how data replication ensures continuous access to data.

Ensuring Data Security and Compliance

Data security and compliance are paramount in implementing storage solutions. Azure provides various tools and services to secure data, such as encryption at rest and in transit, role-based access control (RBAC), and auditing. Compliance with regulations like GDPR, HIPAA, and CCPA is also essential, and Azure offers features to help meet these requirements.

Think of data security as a fortress with multiple layers of defense, each designed to protect the data from unauthorized access and breaches.