[FEATURE] Support Fluss catalog

### Describe the feature

Support Fluss catalog intergation.

### Motivation

[Fluss](https://github.com/alibaba/fluss) is a streaming storage built for real-time analytics which can serve as the real-time data layer for Lakehouse architectures. It bridges the gap between data streaming and data Lakehouse by enabling low-latency, high-throughput data ingestion and processing while seamlessly integrating with popular compute engines like Apache Flink, while Apache Spark, and StarRocks are coming soon. It's recommended to support streaming storage including Fluss.

### Describe the solution

Introduce streaming storage module, including support Fluss catalog.

### Additional context

_No response_

Start by reviewing the proposed streaming storage module and the Fluss catalog integration described in the issue, along with the linked Fluss project. Determine the project entry points and integration boundaries before implementation. Done means Gravitino supports a Fluss catalog as part of its streaming storage support.

Written by the indexing model from the issue text.