Microsoft Certified: Azure Data Engineer Associate

Overview


Microsoft Certified: Azure Data Engineer Associate certification training is designed for Azure Data Engineers who want to design and implement the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy business needs.

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Microsoft Certified: Azure Data Engineer Associate consist of following courses

Course Name Duration (days)
DP-201T01: Designing an Azure Data Solution Download Content
2
DP-200T01: Implementing an Azure Data Solution Download Content
3
Total 5
Schedule & Prices
Course Details Schedule
Classroom Training*
Duration : 5 Days
Fee : Online : $4,000  (1-on-1), London : £3,000, Dubai : $4,500 , India : $3,500

On Request
Instructor-Led Online Training
Duration : 5 Days
Fee :  $4,000
On Request
* Prices applicable only for Indian residents with residency proof. 18% GST additional.
Microsoft Certified: Azure Data Engineer Associate Review Benefits
  • Implement Azure cloud data warehouses
  • Implement No-SQL Databases
  • Implement Azure SQL Database
  • Implement hybrid data scenarios
  • Manage Azure DevOps Pipelines
  • Implement big data environments
  • Develop batch processing solutions
  • Develop streaming solutions
  • Develop integration solutions
  • Implement data migration
  • Automate Data Factory Pipelines
  • Manage source data access security
  • Configure authentication and authorization
  • Manage and enforce data policies and standards
  • Set up notifications
  • Monitor data storage
  • Monitor databases for a specified scenario
  • Monitor data processing
  • Manage Optimization
  • Manage business continuity
  • Design an Azure Data solution
  • Design Azure Cloud data warehouses
  • Design No-SQL Databases
  • Design Azure SQL Database
  • Design hybrid data scenarios
  • Design batch processing solutions
  • Design big data real-time processing solutions
  • Design integration solutions
  • Design source data access security
  • Design security for data policies and standards
  • Design a data retention policy
  • Design for Optimization
  • Design and implement a disaster recovery strategy
  • Design for High Availability
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