DATA ENGINEERING · 2 WEEKS · 77 LESSONS
Data Engineering with Databricks
Learn professional data engineering using the Databricks platform and its comprehensive suite of tools. Master essential skills in data transformation, pipeline management, and enterprise-grade data architecture while working with real-world scenarios.
Master data engineering fundamentals using Databricks, a powerful unified analytics platform. This comprehensive course covers essential topics including the Databricks Lakehouse Platform, data transformation techniques, pipeline management, and workload orchestration. Through hands-on labs and practical exercises, students will learn to efficiently manage, transform, and analyze large-scale data using Databricks' cutting-edge tools and best practices for modern data engineering.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Master data engineering fundamentals using Databricks, a powerful unified analytics platform. This comprehensive course covers essential topics including the Databricks Lakehouse Platform, data transformation techniques, pipeline management, and workload orchestration. Through hands-on labs and practical exercises, students will learn to efficiently manage, transform, and analyze large-scale data using Databricks' cutting-edge tools and best practices for modern data engineering.
Master the Databricks Lakehouse Platform architecture and core functionalities
Implement efficient data transformation workflows using Databricks notebooks and Delta Lake
Design and develop reliable data pipelines with automated job orchestration
Apply best practices for data management using Unity Catalog and security features
03 — Syllabus
2 weeks, 77 lessons total.
- Meet your course instructor NOAH gift
- Key terms
- Introduction to the Databricks Lakehouse platform
- Overview of the Databricks architecture
- Creating and managing clusters
- Creating and managing clusters
- Key terms
- Table documentation
- Automated Pipelines with delta live tables
- Delta live tables components
- Continuous VS Triggered Pipelines
- Configuring auto Loader
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.