In this program, you’ll develop the skills and knowledge you need to join the rapidly growing data engineering field. With the help of expert instructors and mentors, you’ll design data models, build data warehouses and data lakes, automate data pipelines, and work with Big Data. These skills are in high demand and companies are facing major shortages of data engineering talent. Upon completing the program, you’ll have the skills you need to become a data engineer.
Data Engineering is the foundation for the new world of Big Data. Enroll now to build production-ready data infrastructure, an essential skill for advancing your data career.
Overview
Syllabus
- 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.
- Cloud Data Warehouses
- Sharpen your data warehousing skills and deepen your understanding of data infrastructure. Create cloud-based data warehouses on Amazon Web Services (AWS).
- Spark and Data Lakes
- Understand the big data ecosystem and how to use Spark to work with massive datasets. Store big data in a data lake and query it with Spark.
- Data Pipelines with Airflow
- Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.
- Capstone Project
- Combine what you've learned throughout the program to build your own data engineering portfolio project.
Taught by
Amanda Moran, Ben Goldberg, Sameh El-Ansary, Olli Iivonen, David Drummond, Judit Lantos, Juno Lee , Rodrigo G., Andrew M., Stanislav V., Eugenio C., Nitheesha T. and Jitesh S.
Charts
- #1 in Subjects / Business Intelligence / Data Warehousing
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Reviews
5.0 rating, based on 6 Class Central reviews
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The project gave me a better knowledge about OLAP vs. OLTP, normalization, denormalization, and how to implement it into practice. I have been working in Data Engineering field for 3 years, but the program has given me a clear understanding about why we need those concepts in DE fields.
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Data Engineering at Udacity is quite interesting, cool interface/videos and all lessons are well structured with real life project.
I love the project , the reviewers comments and generally the way it was reviewed! -
I'm working as dwh engineer and want to forward to check how data engineer stuff going on and I did some research about which course or programm I should start study on then I find udacity and few other programms and compare them by content difference , which tools they are using while course going on ,which technologies they are prefer to apply and how these are fits to real life scenarios and belive me the one of most important point is evaluation proccess of your projects and asking questions to MENTORS (till now I can't see any question not answered). I see udacity far best ! . I advice you to check udacity courses before you decide to start.
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This course is highly essential for anyone who wants to become a data engineer. I enjoyed the projects and exposure to various data engineering tools. It gives one the right foundation to build on.
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I've just completed the first project. The project was great since it's what you'd expect to be able to do at work, and the reviewer's comments and guidance were helpful and informative!
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I am very happy with the content and this first project has helped me a lot to better understand the technical concepts. Thank you!
