The world of data has evolved and the advent of cloud technologies is providing new opportunities for businesses to explore. In this course, you will learn the various data platform technologies available, and how a Data Engineer can take advantage of this technology to an organization's benefit.
Give your career the gift of Coursera Plus with $160 off, billed annually. Save today.
Microsoft Azure for Data Engineering
This course is part of Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate
Instructor: Microsoft
48,386 already enrolled
Included with
(666 reviews)
Recommended experience
What you'll learn
You will learn the various data platform technologies available, and how to take advantage of this technology to an organizations benefit.
Choose Microsoft Azure data technologies that meet different business needs and scale to meet demands securely
Describe common data engineering practices
Explain the differences between on-premises and cloud data solutions
Skills you'll gain
Details to know
Add to your LinkedIn profile
7 assignments
See how employees at top companies are mastering in-demand skills
Build your Data Analysis expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from Microsoft
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 3 modules in this course
In this module, you will learn how data systems are evolving and how the changes affect data professionals. You will also explore the differences between on-premises and cloud data solutions, and consider sample business cases that apply cloud technologies. you will learn about the responsibilities of a data engineer. You will also find out how they relate to the jobs of other data and AI professionals. You will explore common data engineering practices and a high-level architecting process for a data-engineering project.
What's included
14 videos3 readings3 assignments1 discussion prompt
In this module, you will learn about Azure technologies that analyze text and images and relational, nonrelational, or streaming data. You will also see how data engineers can choose the technologies that meet their business needs and scale to meet demand securely. You will take a practice exam that will assess your knowledge of the content of this course and prepare you for the Microsoft Certified: Azure Data Engineer Associate exam.
What's included
11 videos3 assignments
In this module, you will take a practice exam that covers key skills measured in the Exam DP-203: Data Engineering on Microsoft Azure.
What's included
2 videos2 readings1 assignment1 discussion prompt
Recommended if you're interested in Data Analysis
Why people choose Coursera for their career
Learner reviews
Showing 3 of 666
666 reviews
- 5 stars
67.11%
- 4 stars
22.86%
- 3 stars
5.53%
- 2 stars
2.24%
- 1 star
2.24%
New to Data Analysis? Start here.
Open new doors with Coursera Plus
Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Certificate, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.