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Data Engineering with Microsoft Azure

Nanodegree Program

Learn to design data models, build data warehouses, build data lakes and lakehouse architecture, create data pipelines, and work with large datasets on the Azure platform using Azure Synapse Analytics, Azure Databricks, and Azure Data Factory.

Learn to design data models, build data warehouses, build data lakes and lakehouse architecture, create data pipelines, and work with large datasets on the Azure platform using Azure Synapse Analytics, Azure Databricks, and Azure Data Factory.

Advanced

4 months

Real-world Projects

Completion Certificate

Last Updated February 26, 2024

Skills you'll learn:
Database fundamentals • Cassandradb • PostgreSQL • Database normalization
Prerequisites:
Command line interface basics • Relational data models • Intermediate Python

Courses In This Program

Course 1 45 minutes

Welcome to the Nanodegree Program!

Welcome to Udacity! We're excited to share more about your Nanodegree program and start this journey with you!

Course 2 4 weeks

Data Modeling

Learn to create relational and NoSQL data models to fit the diverse needs of data consumers. Use ETL to build databases in PostgreSQL and Apache Cassandra.

Course 3 4 weeks

Cloud Data Warehouses with Azure

In this course, you will learn to create cloud-based data warehouses and sharpen your data warehousing skills, deepen your knowledge of data infrastructure, and be introduced to data engineering on the cloud using Azure.

Course 4 4 weeks

Data lakes and Lakehouses with Spark and Azure Databricks

Learn about the big data ecosystem and how to use Spark to work with massive datasets. Learners will also store big data in a data lake and develop Lakehouse architecture on the Azure Databricks platform.

Taught By The Best

Photo of Vishnu (Lucky) Pamula

Vishnu (Lucky) Pamula

Sr. Cloud Solution Architect at Microsoft

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.

Photo of Amanda Moran

Amanda Moran

Developer Advocate at DataStax

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.

Photo of Matt Swaffer, PhD

Matt Swaffer, PhD

Data Science Practice Lead at Cognitell

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.

Ratings & Reviews

Average Rating: 4.3 Stars

(2 Reviews)

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