DP-200 – Implementing an Azure Data Solution
This 3-day Microsoft course focuses on various data platform technologies related to on-premises, cloud, and hybrid data scenarios incorporating both relational and No-SQL data, exploring 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 includes the optimization and disaster recovery of big data, batch processing and streaming data solutions.
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.
In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:
- Azure fundamentals
- Implementing Relational databases
After completing this course, you will be able to:
- Implement data storage solutions
- Manage and develop data processing
- Monitor and optimize data solutions
Module 1: Azure for the Data Engineer
Module 2: Working with Data Storage
Module 3: Enabling Team Based Data Science with Azure Databricks
Module 4: Building Globally Distributed Databases with Cosmos DB
Module 5: Working with Relational Data Stores in the Cloud
Module 6: Performing Real-Time Analytics with Stream Analytics
Module 7: Orchestrating Data Movement with Azure Data Factory
Module 8: Securing Azure Data Platforms
Module 9: Monitoring and Troubleshooting Data Storage and Processing
Founder / Principal Architect at dinesQL
Dinesh is an experienced professional and database enthusiast with skills in database management systems and business intelligence, especially on the Microsoft SQL Server product suite. Possessing over 16 years of experience on data related technologies, he does training, consulting, and is a top contributor to the local SQL Server community.