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

BI Insights Inc

BI Insights Inc

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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...

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Topics covered in this video:
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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