Microsoft Azure Data Engineer Associate DP-203


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Length: 4.0 day (32 hours)

 

The Microsoft Azure Data Engineer Associate certification validates your ability to design, build, monitor, and maintain data engineering solutions on Microsoft Azure. This certification is ideal for data engineers who want to demonstrate their expertise in working with Azure data services like Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, and more

  • Data engineers
  • Data analysts
  • Data scientists
  • IT professionals looking to specialize in cloud-based data engineering
  • Basic understanding of data engineering concepts
  • Familiarity with SQL and Python programming languages
  • Experience with cloud computing, preferably Azure

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Course objectivesCourse outlines

Course objectives

After completing this course, students will be able to:

    • Design and implement data ingestion pipelines
    • Transform and process data using Azure Data Factory and Azure Databricks
    • Create and optimize data warehouses and data lakes
    • Implement data security and governance policies
    • Monitor and troubleshoot data engineering solutions

Course outlines

  • Module 1: Introduction to Azure Data Engineering
    • Introduction to Azure
    • Core Azure Data Services
    • Data Engineering on Azure
  • Module 2: Data Storage on Azure
    • Azure Storage Account
    • Azure Data Lake Storage Gen2
    • Azure Blob Storage
    • Azure Files
  • Module 3: Data Ingestion and Transformation
    • Azure Data Factory
    • Azure Synapse Analytics
    • Azure Databricks
    • Azure Stream Analytics
  • Module 4: Data Warehousing and Data Lakes
    • Designing Data Warehouses on Azure Synapse Analytics
    • Creating Data Lakes on Azure Data Lake Storage Gen2
    • Data Modeling and ETL Processes
    • Data Quality and Data Governance
  • Module 5: Data Security and Privacy
    • Azure Security Center
    • Azure Key Vault
    • Azure Active Directory
    • Data Encryption and Key Management
    • Data Masking and Redaction
  • Module 6: Monitoring and Optimization
    • Azure Monitor
    • Log Analytics
    • Performance Tuning and Optimization Techniques
  • Module 7: Exam Preparation
    • Exam Format and Structure
    • Exam Tips and Strategies
    • Practice Exam Questions

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