Implementing an Azure Data Solution Associate (Data Engineer)
Details
The students will also explore how to implement data security including authentication, authorization, data policies and standards. They will also define and implement data solution monitoring for both the data storage and data processing activities. Finally, they will manage and troubleshoot Azure data solutions which include the optimization and disaster recovery of big data, batch processing, and streaming data solutions.
This course is based on the objectives of the course version DP-200T01-A.
Intended Audience
- The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about the data platform technologies that exist on Microsoft Azure.
- The secondary audience for this course is individuals who develop applications that deliver content from the data platform technologies that exist on Microsoft Azure.
Outline
- Working with Data Storage
- Enabling Team-Based Data Science with Azure Databricks
- Building Globally Distributed Databases with Cosmos DB
- Working with Relational Data Stores in the Cloud
- Performing Real-Time Analytics with Stream Analytics
- Orchestrating Data Movement with Azure Data Factory
- Securing Azure Data Platforms
- Monitoring and Troubleshooting Data Storage and Processing
- Integrating and Optimizing Data Platforms
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