Welcome to the Microsoft Azure Data Engineer Certification DP-203 Hands-On Labs repository. This resource is designed to help you prepare for the DP-203 certification exam by providing practical labs covering essential topics in data engineering.
- Module 1: Data Transformation
- Module 2: Batch Processing
- Module 3: Stream Processing
- Certification Exam Topics
- Key References
Learn how to transform data effectively:
- Use Apache Spark for data transformation
- Utilize Transact-SQL for data processing
- Leverage Data Factory and Azure Synapse Pipelines for data transformation
- Implement data cleansing techniques
- Split and process data
- Work with JSON data
- Encode and decode data
- Configure error handling
- Normalize and denormalize values
- Utilize Scala for data transformation
- Perform data exploratory analysis
Master batch processing solutions:
- Develop batch processing solutions using Data Factory, Data Lake, Spark, Azure Synapse Pipelines, PolyBase, and Azure Databricks
- Create efficient data pipelines
- Implement incremental data loading
- Design slowly changing dimensions
- Ensure security and compliance
- Scale resources as needed
- Configure batch size for optimal performance
- Design and conduct tests for data pipelines
- Seamlessly integrate Jupyter/Python notebooks
- Manage duplicate, missing, and late-arriving data
- Perform data upserts and regression
- Implement robust exception handling
- Configure batch retention policies
- Debug Spark jobs via the Spark UI
Explore stream processing solutions:
- Develop stream processing solutions with Stream Analytics, Azure Databricks, and Azure Event Hubs
- Utilize Spark structured streaming for real-time data processing
- Monitor and maintain performance
- Design windowed aggregates
- Handle schema drift
- Process time series data
- Manage data processing across partitions
- Implement checkpoint and watermark strategies
- Optimize pipelines for analytical and transactional purposes
- Manage interruptions gracefully
- Configure effective exception handling
- Handle data upserts and archived stream data
- Design robust stream processing solutions
In addition to these hands-on labs, review the DP-203 certification exam topics for a comprehensive understanding of the certification requirements.
Feel free to explore and utilize these labs to enhance your skills and prepare for the DP-203 certification exam. Good luck with your studies!