Support for Apache Iceberg

[3amroSalem]

Overview of the feature request

Add support for Apache Iceberg as a database/catalog option in JHipster’s low-code framework generator. This would allow developers to easily generate JHipster applications that use Iceberg for storing and querying large datasets.

Motivation for or Use Case

Apache Iceberg offers several advantages for big data analytics, including:

Schema evolution: Iceberg supports schema evolution, making it easy to add, delete, or modify columns in a table without rewriting the entire dataset.
Hidden data management: Iceberg manages data files behind the scenes, allowing for efficient data compaction, deletion, and updates.
Time travel queries: Iceberg maintains a history of table snapshots, enabling queries to access data as it existed at a specific point in time.
Performance optimizations: Iceberg is designed for high-performance queries on large datasets, with features like partition pruning and predicate pushdown.
Integrating Iceberg with JHipster would provide developers with a powerful and scalable solution for building data-intensive applications.

Many service providers are moving towards apache iceberg as you might have realized with 2024 AWS ReInvent data/AI features enabled by apache Iceberg

Related issues or PR

• Checking this box is mandatory (this is just to show you read everything)