Data Engineering on Microsoft Azure (DP-203)

Course Summary

This Data Engineering on Microsoft Azure (DP-203) course introduces the ins and outs of working with relational, non-relational, and data warehouse solutions in the Azure platform with a focus on providing the knowledge needed to make the right decisions for implementation in an organization.

The goal of this course is to provide you with all the tools you need to prepare for the DP-203 Data engineering on Microsoft Azure exam — including text explanations, video demos, lab activities, self-assessment questions, and a practice exam— to increase your chances of passing the exam on your first try.

Methodology:

180-day access to:

  • Lessons
  • Video learning
  • Labs for Data Engineering on Microsoft Azure (DP-203).
  • MeasureUp Practice Test for Data Engineering on Microsoft Azure (DP-203). Practice Mode with remediation and Certification mode to simulate the test day experience.

Duration:

Approximately 4-6 days/ 40 hours of primary course content. Each learner will progress at their own rate.

Audience:

Data engineers, system engineers, IT managers developers, database administrators, and cloud architects who have very little or no knowledge about Azure offerings and architecture.

Prerequisites:

  • Six months or less of experience with Azure offerings and architecture.
  • Limited consolidated experience about on-premises environments and technologies.

Course Outline:

Upon successful completion of this course, students should be able to:

Lesson 1: Understand Azure data solutions

  • Data-storage concepts 
  • Data-processing concepts
  • Use cases
  • Summary
  • Case Study
  • Quiz

Lesson 2: Implement data-storage solutions

  • Implement non-relational data stores
  • Implement relational data stores 
  • Manage data security
  • Summary
  • Case Study
  • Quiz

Lesson 3: Manage and develop data processing for Azure Data Solutions

  • Batch data processing 
  • Streaming data
  • Summary
  • Case Study
  • Quiz

Lesson 4: Monitor and optimize data solutions 

  • Monitor data storage
  • Monitor data processing
  • Optimize Azure data solutions
  • Summary
  • Case Study
  • Quiz