Microsoft Azure Data Engineer (DP-200)
- 16 courses
- 32 hours
Microsoft Azure offers a spread of services dedicated to addressing common business data engineering problems. This skill teaches how these Azure services work together to enable you to design, implement, operationalize, monitor, optimize, and secure data solutions on Microsoft Azure.
This path is designed to address the Microsoft DP-200 certification exam.
Courses in this path
Implementing Storage Solutions in MIcrosoft Azure
The courses in this level teach you how to build storage solutions in Microsoft Azure that are appropriate for your business needs. Specifically, building data warehouses, NoSQL and relational databases, and hybrid data solutions are addressed.
Implementing a Cloud Data Warehouse in Microsoft Azure Synapse Analytics
- by Gary Grudzinskas
- 1h 18m
Implementing Data Processing Solutions in Microsoft Azure
The courses in this section address building data processing solutions for specific types of business problems. For example, this section of the skill teaches how to move data across Azure services using Databricks, how to implement batch and streaming data processing solutions, and how to integrate your existing data pipelines into Microsoft Azure.
Deploying Microsoft Azure Data Solutions
This section of the skill addresses deploying your storage and processing solutions to Microsoft Azure.
Monitoring Microsoft Azure Data Solutions
The final section of this skill covers monitoring your MIcrosoft Azure data environment performance. Specific attention is given to monitoring databases, monitoring data pipelines, configuring alerts, and optimizing your solutions.