Day - 0 | Course Introduction | Databricks Architect | Zero to Hero скачать в хорошем качестве

Day - 0 | Course Introduction | Databricks Architect | Zero to Hero

🚀Databricks Architect: Zero to Hero - Full Course Introduction In this video, I’m introducing my latest Databricks Architect Zero to Hero course, designed to help data engineers and analytics engineers think like architects, not just implementers. Most engineers know how to build pipelines. Architects understand why they are built a certain way. That difference is what this course is all about. Why learn Databricks Architecture? As a Databricks Engineer, you might focus on: Writing Spark code Building ETL pipelines Optimizing jobs But as a Databricks Architect, you also need to understand: 1. Platform design & scalability 2. Workspace and environment strategy 3. Data ingestion patterns 4. Lakehouse architecture 5. Security, governance, and cost optimization 6. Performance trade-offs and design decisions This course bridges that gap - from engineer to architect mindset. What this course covers: In this Zero to Hero series, I’ll explain: 1. Databricks Lakehouse architecture (deep dive) 2. Workspace, cluster, and job design 3. Medallion architecture & data modeling 4. Streaming vs batch design choices 5. Security, Unity Catalog & governance 6. Performance and cost optimization 7. Real-world architectural patterns & pitfalls All concepts are explained from first principles, with practical examples. 📂 GitHub Repository (All Videos & Topics) I’m also sharing a public GitHub repository where I’ve documented: All course videos Topics covered in each video Supporting notes and references 👉 GitHub Repo: https://github.com/jabbermo/Databrick... This repo is provided for learning purposes and is read-only. 🎯 Who is this course for? ✅ Databricks Engineers ✅ Data Engineers ✅ Analytics Engineers ✅ Aspiring Data / Platform Architects ✅ Anyone preparing for Databricks Architect roles