In Course #4 of our Apache Iceberg 101 series, get a clear overview of Apache Iceberg's architecture and how it supports modern data lakehouses. You’ll learn about key architectural components, including: Catalogs: Organize table metadata and schemas Metadata files: Optimize query performance with table stats Manifest lists: Track all files in a table Manifests: Record table changes over time This foundation enables scalable, versioned data management across tools and engines. 🔗 For more tutorials on Apache Iceberg and data lakehouse architecture, visit: Connect with Dremio: 🐦 Twitter: 💼 LinkedIn: 📘 Blog: 👥 Community: 💻 GitHub: 🌐 Website:










