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To become an Azure Data Engineer, a comprehensive s yllabus should cover various topics related to Azure’s cloud services, data storage solutions, data processing, and analytics. Below is a typical syllabus or roadmap to guide your learning path for Azure Data Engineer certification (specifically the Microsoft Certified: Azure Data Engineer Associate (DP-203)).
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Syllabus
1. Introduction to Azure Data Engineering
- Overview of Azure Cloud Services
- Azure Data Platform and Services
- Types of Data Engineering Solutions on Azure
2. Core Azure Data Services
Azure Data Storage Solutions
- Azure Blob Storage
- Azure Data Lake Storage Gen2
- Azure Files, Tables, and Queues
- Azure Disk Storage
- Azure SQL Database and Managed Instances
- Cosmos DB
Azure Databases
- Relational Data (SQL Server, Azure SQL Database)
- NoSQL (Cosmos DB)
- Data Warehouse (Azure Synapse Analytics)
- Azure Data Factory (ADF)
3. Data Security and Privacy
Authentication and Authorization
- Azure Active Directory (Azure AD)
- Role-based Access Control (RBAC)
- Managed Identity
- Encryption in Transit and at Rest
Security Features in Azure Data Services
- Virtual Networks, Firewalls, Private Endpoints
4. Data Movement and Transformation
Azure Data Factory (ADF)
- Building Pipelines
- Data Flow and Mapping Data Flows
- Orchestrating Data Movement
- Data Wrangling and Transformation
- Integration Runtime in Data Factory
Azure Synapse Analytics
- SQL Pools
- Apache Spark Pools
- Data Transformation in Spark
- Data Lake Integration with Synapse
5. Real-Time Data Processing
Azure Stream Analytics
- Real-time Data Streaming
- Stream Input and Output
- Querying and Processing Streaming Data
- Integration with Azure Blob Storage, Event Hubs, etc.
Azure Event Hubs
- Message/Event Streaming
- Processing Streamed Data
- Event Stream Storage and Analysis
Azure IoT Hub (Optional)
- IoT Data Management
- Real-time Device Data Stream
6. Data Warehousing and Analytics
Azure Synapse Analytics
- Data Warehouse Design (Star Schema, Snowflake Schema)
- Data Lake and Data Warehousing Integration
- Querying and Data Integration with T-SQL
- Pipelines for Data Movement
- Analytics and Business Intelligence with Synapse
Power BI for Analytics
- Connecting to Data Sources (Azure Data Sources)
- Data Transformation using Power Query
- Data Modeling and Reporting in Power BI
7. Batch Data Processing
Azure Databricks
- Apache Spark-based Analytics
- Building ETL Pipelines
- Data Science and Machine Learning Integrations
- Delta Lake for Data Lake Storage
Azure HDInsight
- Hadoop, Spark, Hive, and HBase
- Big Data Workloads on Azure
8. Monitoring and Troubleshooting
Monitoring Data Pipelines
- Azure Monitor
- Log Analytics
- Metrics and Alerts for Data Solutions
- Troubleshooting ETL Jobs
9. Data Governance and Management
Data Cataloging
- Azure Purview (Data Governance and Classification)
- Metadata Management and Data Lineage
Azure Data Share
- Sharing Data Securely across Organizations
- Data Collaboration Tools
10. Advanced Topics (Optional but Recommended for Expertise)
Azure Machine Learning Integration
- Data Pipeline for Model Training
- Model Management in Data Engineering Workflows
Azure Data Engineering Best Practices
- Data Engineering Lifecycle
- Performance Tuning and Optimization
- Cost Management for Data Services
Microsoft DP-203: Azure Data Engineer Exam Topics
These topics are aligned with the DP-203: Data Engineering on Microsoft Azure exam:
1. Design and Implement Data Storage (40-45%)
- Design Azure storage solutions
- Implement data storage solutions
- Manage data security and storage
2. Design and Develop Data Processing (25-30%)
- Design data processing solutions
- Develop data processing solutions
3. Monitor and Optimize Data Solutions (10-15%)
- Monitor data solutions
- Optimize data solutions
4. Data Security (10-15%)
- Implement data security measures
- Optimize datao Manage data privacy, encryption, and access solutions
Recommended Resources for Study:
- Microsoft Learn (Free Learning Paths for DP-203)
- Pluralsight (Courses for Azure Data Engineering)
- Udemy (Popular courses on DP-203)
- Microsoft Documentation
- Practice Tests for DP-203 Exam
Hands-on Labs:
- Setting up Azure Data Factory Pipelines
- Working with Azure Databricks and Apache Spark
- Implementing security features in Azure SQL Database and Cosmos DB
- Integrating with Power BI for data visualization
- Creating and managing Data Warehouses using Azure Synapse
This syllabus will guide your journey to become proficient in Azure Data Engineering and prepare you for certification and real-world application.
