Begin by laying the foundation for your data engineering course. Familiarize yourself with the core approach of the program, delve into Python, and grasp the rudiments of data engineering in the cloud.
Uncover the core aspects of SQL databases, gaining a solid understanding of both transactional and analytical paradigms. Develop your skills with PostgreSQL and BigQuery, two essential tools for any data engineer.
Discover data storage strategies and understand the transformative shift from Docker to Kubernetes, providing a practical understanding of batch pipeline development.
Explore the challenges and solutions involved in handling large-scale data workloads. Learn to manage the transfer, processing, and tracking of large datasets, acquiring the skills necessary to maintain data consistency and accuracy.
You will learn Data Engineering through 5 modules, either full-time for 5 weeks or part-time for 6 months.
Join our next Data Engineering bootcamp
Looking to advance your data engineering skills? Join us for this intensive workshop where we dive into the fascinating world of graph databases with Neo4j. Whether you're a developer, data scientist, or tech enthusiast, you'll discover how graph databases differ from traditional databases, and how to harness them for a unique culinary experience!
Our Data Engineering course is very complete and intense. But don’t worry, if you don’t have the suggested requirements we will help you get there!
30 min informal, non-technical interview
Online technical quiz
Payment options & prepwork