Hands-On Introduction: Data Engineering
Hands-On Introduction: Data Engineering
Updated: 6/18/2024
Duration: 1h 31m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 219 MB
Genre: eLearning | Language: English
Updated: 6/18/2024
Duration: 1h 31m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 219 MB
Genre: eLearning | Language: English
Suggested prerequisites
Projects
In this course, instructor Vinoo Ganesh gives you an overview of the fundamental skills you need to become a data engineer. Learn how to solve complex data problems in a scalable, concrete way. Explore the core principles of the data engineer toolkit—including ELT, OLTP/OLAP, orchestration, DAGs, and more—as well as how to set up a local Apache Airflow deployment and full-scale data engineering ETL pipeline. Along the way, Vinoo helps you boost your technical skill set using real-world, hands-on scenarios.
This course is integrated with GitHub Codespaces, an instant cloud developer environment that offers all the functionality of your favorite IDE without the need for any local machine setup. With GitHub Codespaces, you can get hands-on practice from any machine, at any time—all while using a tool that you’ll likely encounter in the workplace. Check out the “Using GitHub Codespaces with this course” video to learn how to get started.
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