Microsoft Certified: Azure Data Engineer Associate (DP-203)

Course Overview The Microsoft Certified: Azure Data Engineer Associate (DP-203) course by Stalwart Learning is designed for individuals looking to build advanced skills in data engineering using Azure. This course…

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Stalwart Learning

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Date & Time

Price

Duration

5 Days / 40hrs

Location

https://stalwartlearning.com/

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Course Description

The Microsoft Certified: Azure Data Engineer Associate (DP-203) course by Stalwart Learning is designed for individuals looking to build advanced skills in data engineering using Azure. This course covers the essential concepts and tools for designing and implementing data storage, managing and transforming data, and integrating data services within the Azure ecosystem. Participants will learn how to manage data warehouses, implement data pipelines, and ensure data quality, which will prepare them for the DP-203 certification exam. By the end of this course, learners will be equipped to architect and manage scalable data solutions on Azure.

40 hours (5 days)

  • Basic knowledge of data concepts and experience working with databases.
  • Familiarity with Azure services, particularly Azure Storage, SQL Database, and Power BI, is recommended.
  • Overview of Azure Data Engineering concepts
  • Understanding the role of a data engineer and Azure data services
  • Implementing Azure Blob Storage and Azure Data Lake Storage
  • Working with Azure SQL Database, Cosmos DB, and NoSQL solutions
  • Integrating storage solutions for different use cases (structured, unstructured data)
  • Designing data models in Azure Synapse Analytics
  • Working with data lakes and data warehousing solutions
  • Implementing partitioning, indexing, and optimizing query performance
  • Creating and managing data pipelines using Azure Data Factory
  • Implementing ETL processes and transforming data with Azure Databricks
  • Integrating data processing with Azure Stream Analytics
  • Implementing Data Security and Compliance
  • Managing data privacy and compliance with Azure Policy and Azure Security Center
  • Monitoring data pipelines and services using Azure Monitor and Log Analytics
  • Troubleshooting and optimizing performance with diagnostic tools
  • Setting up alerting and logging for better visibility
  • Integrating data across multiple services using Azure Data Factory and Logic Apps
  • Managing data workflow orchestration and automation for scalability
  • DP-203 exam structure and preparation tips
  • Mock exams and scenario-based questions

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