DP-200T01: Implementing an Azure Data Solution


Implementing an Azure Data Solution training course will give you a detailed overview of ingesting, egressing, and transforming data from multiple sources using various services and tools. This training will prepare you for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure services. This course is the part of Microsoft Certified: Azure Data Engineer Associate certification.

Who should do Implementing an Azure Data Solution training?

  • Azure Data Engineers
This course prepares you for Exam DP-200. Download Course Contents Test your current knowledge Qubits
Schedule & Prices
Course Details Schedule
Classroom Training*
Duration : 3 Days
Fee : Online : $2,200  (1-on-1), London : £1,700, Dubai : $2,500 , India : $1,900

09-11 (london)
08-10 (london)
13-15 (london)
Instructor-Led Online Training
Duration : 3 Days
Fee :  $2,200

Duration : 3 Days
Fee : On Request
Client's Location
As per mutual convenience

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On completion of this course, you will know:

  • Azure for the Data Engineer
  • Working with Data Storage
  • Enabling Team Based Data Science with Azure Databricks
  • Building Globally Distributed Databaseswith 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


3 Days or Client can do this on his local machine as well so there will be no limit for lab access.

Client needs to pass 2 exams i.e. DP200 (Implementing an Azure Data Solutions)  and DP201(Designing an Azure Data Solutions).


Client who wants to learn Azure Data Platform for Big Data Analytics, ETL process in cloud and Relational data stores like Databases and Datawarehouse on cloud can approach for this course.


Client should be aware with the Fundamentals of Azure Cloud.

DP200 Course will give exposure to different technologies used for data storage, handling, formatting, Analyzing, migration and Scheduling of ETL Pipelines.

You should have an Idea about following concepts : -

  • Databases and Datawarehouse concepts
  • Basic idea of Azure Cloud Portal
  • SQL