Microsoft Certified: Azure Data Engineer Associate(DP-200T01-A: Implementing an Azure Data Solution+DP-201: Designing an Azure Data Solution)

Course Name

DP-200T01-A: Implementing an Azure Data Solution

Course overview

In this course, the students will implement various data platform technologies into solutions that are in-line with business and technical requirements, including on- premises, cloud, and hybrid data scenarios incorporating both relational and NoSQL data. They will also learn how to process data using a range of technologies and languages for both streaming and batch data.

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 includes the optimization and disaster recovery of big data, batch processing, and streaming data solutions

Target 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.

Objectives

After completing this course, students will be able to:

  • Implement data storage solutions
  • Manage and develop data processing
  • Monitor and optimize data solutions

Prerequisites

In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:

  • Azure Fundamentals.

Certification

  • Microsoft Certified: Azure Data Engineer Associate
Course Name

DP-201T01-A: Designing an Azure Data Solution

Course overview

In this course, the students will design various data platform technologies into solutions that are in line with business and technical requirements. This can include on-premises, cloud, and hybrid data scenarios which incorporate relational, NoSQL, or Data Warehouse data. They will also learn how to design process architectures using a range of technologies for both streaming and batch data. The students will also explore how to design data security, including data access, data policies, and standards. They will also design Azure data solutions, which includes the optimization, availability, and disaster recovery of big data, batch processing, and streaming data solutions.

Target audience

  • Design Azure data storage solutions
  • Design Enterprise BI solutions in Azure
  • Design data processing solutions using real-time reference architectures
  • Architecting data solutions for resilience, efficiency, security and compliance

Objectives

After completing this course, students will be able to:

  • The 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.

Prerequisites

In addition to their professional experience, students who take this training should have technical knowledge equivalent to the following courses:

  • Azure Fundamentals
  • DP-200: Implementing an Azure Data Solution.

Certification

  • Microsoft Certified: Azure Data Engineer Associate