Real-world projects from industry experts
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Master the job-ready skills you need to succeed as a Microsoft Azure data engineer like designing data models and utilizing other in-demand components of the cloud computing service.
01Days06Hrs53Min25Sec
At 5-10 hours/week
Get access to the classroom immediately upon enrollment
Learners will acquire the skills needed to design data models, create data pipelines, and navigate large datasets on the Azure platform. Additionally, they will learn to build data warehouses, data lakes, and lakehouse architecture.
Experience with SQL, Python, Azure, and Github.
In this course, you will find out how to create relational and NoSQL data models to fit the diverse needs of data consumers. Additionally, you’ll understand the differences between different data models and how to choose the appropriate data model for a given situation. Lastly, you’ll build fluency in PostgreSQL and Apache Cassandra.
Learn to create cloud-based data warehouses, sharpen data warehousing skills, deepen knowledge of data infrastructure, and understand data engineering on the cloud using Azure.
Learn about the big data ecosystem and how to use Spark to work with massive datasets. You will also store big data in a data lake and develop lakehouse architecture on the Azure Databricks platform.
Learn to build, orchestrate, automate, and monitor data pipelines in Azure using Azure Data Factory and pipelines in Azure Synapse Analytics. Run data transformations, optimize data flows, and interact with data pipelines in production.
With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.
Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.
You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.
Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.
We provide services customized for your needs at every step of your learning journey to ensure your success.
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Matt is a data science professional whose career has spanned software development, user experience design, and data visualization. He earned his PhD in the research area of cognitive psychology in human learning and is an adjunct professor teaching software design courses.
Amanda is a developer advocate for DataStax after spending the last 6 years as a software engineer on 4 different distributed databases. Her passion is bridging the gap between customers and engineering. She has degrees from the University of Washington and Santa Clara University.
Lucky is a data & AI evangelist with a track record of successfully helping organizations build analytics solutions. Besides his day job, he teaches as an adjunct professor, delivers lunch & learns, mentors students, and evangelizes Azure Quantum as an ambassador.
Learn to design data models and perform other tasks by utilizing Microsoft Azure data engineering principles.
On average, successful students take 4 months to complete this program.
This program is designed to help you take advantage of the growing need for skilled Microsoft Azure data engineers. Companies everywhere are struggling to hire digital talent with the right skills to empower innovation. Thus, now is the best time to transform your career.
The skills you will gain from this Azure data engineering training will qualify you for jobs in several industries, as countless companies are trying to design data models and perform other tasks using Microsoft Azure.
The program is for individuals who are looking to advance their Microsoft Azure data engineering careers with skills in a burgeoning field.
No. This Nanodegree program accepts all applicants regardless of experience and specific background.
To succeed in this program, you should have:
We have a number of Nanodegree programs and free courses that can help you prepare, including:
This Microsoft Azure training program is comprised of content and curriculum to support 5 projects. We estimate that students can complete the program in 4 months, working 5-10 hours per week.
Each project will be reviewed by the Udacity reviewer network and platform. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Access to this Nanodegree program runs for the length of time specified above. If you do not graduate within that time period, you will continue learning with month-to-month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.
Please see the Udacity Program FAQs for policies on enrollment in our programs.
There are no software and version requirements to complete this Nanodegree program. All coursework and projects can be completed via Student Workspaces in the Udacity online classroom.