Create on premise Data Lakehouse with Apache Iceberg | Nessie | MinIO | Lakehouse

In this video cover the data lakehouse. A data lake house is a concept that combines elements of both data lakes and data warehouses to bring us the best of both worlds. It aims to provide a unified platform for storing, managing, and analyzing both unstructured data and structured data. What is Data Lake? https://aws.amazon.com/big-data/datal... Link to GitHub repo: https://github.com/hnawaz007/pythonda... Link to Data Lake Video: On-premis:    • How to build on-premise Data Lake? | Build...   AWS:    • How to create an AWS S3 Data Lake? | AWS S...   💥Subscribe to our channel:    / haqnawaz   📌 Links ----------------------------------------- #️⃣ Follow me on social media! #️⃣ 🔗 GitHub: https://github.com/hnawaz007 📸 Instagram:   / bi_insights_inc   📝 LinkedIn:   / haq-nawaz   🔗   / hnawaz100   ----------------------------------------- #dataanalytics #datalakehouse #opensource Topics covered in this video: ================================== 0:00 - Introduction to Data Lakehouse 0:53 - Data Lakehouse prominent Features 1:50 - Data Lake from Previouse session 2:31 - Data Lakehouse Overview 3:34 - Tech Stack of on-premise Data Lakehouse 3:44 - Start Docker Containers 4:02 - MinIO (S3) Buckets, File(s) & Keys 4:56 - Configure Dremio 5:07 - Add MinIO (S3) Source 5:57 - Add Nessie Catalog 6:38 - Format File 7:33 - Create Iceberg Table 7:59 - Copy Data to Table 8:35 - SQL DML Operations 9:47 - Table History and Time Travel 10:29 - Coming Soon