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 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.
Duration
40 hours (5 days)
Prerequisites
- Basic knowledge of data concepts and experience working with databases.
- Familiarity with Azure services, particularly Azure Storage, SQL Database, and Power BI, is recommended.
Course Outline
1. Introduction to Data Engineering on Azure
- Overview of Azure Data Engineering concepts
- Understanding the role of a data engineer and Azure data services
2. Designing and Implementing Data Storage Solutions
- 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)
3. Managing and Optimizing Data with Azure Synapse Analytics
- Designing data models in Azure Synapse Analytics
- Working with data lakes and data warehousing solutions
- Implementing partitioning, indexing, and optimizing query performance
4. Designing and Implementing Data Processing Solutions
- 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
5. Implementing Data Security and Compliance
- Implementing Data Security and Compliance
- Managing data privacy and compliance with Azure Policy and Azure Security Center
6. Monitoring and Troubleshooting Data Solutions
- 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
7. Data Integration and Orchestration
- Integrating data across multiple services using Azure Data Factory and Logic Apps
- Managing data workflow orchestration and automation for scalability
8. Exam Preparation and Practice Tests
- DP-203 exam structure and preparation tips
- Mock exams and scenario-based questions