Microsoft Certified: Azure Data Engineer Associate
Flexible Hours
100 Assignments
Instructor Led online Training
50 LMS Access
24X7 Support
100% Skill Level
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4.9 out of 1000+ Ratings
Microsoft Certification Courses are the most popular courses across all vendors. Without Microsoft products, individuals and enterprise teams can hardly perform their day-to-day activities. It see a great demand for Microsoft certified .NET professionals worldwide across popular categories such as Microsoft365, Azure, MS Project, Office, Dynamics/Business Central, Visual Studio, and more.
Course Overview
Microsoft Certified: Azure Data Engineer Associate Certification Training Course 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 Microsoft Azure data services to satisfy business needs.
Fees
Online Live One to One Training
24 Hrs of Instructor-led Training
Flexible Schedule
1:1 Doubt Resolution Sessions
Attend as many batches for Lifetime
85,100
Objective
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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