fresh-borzoni commented on code in PR #3424:
URL: https://github.com/apache/fluss/pull/3424#discussion_r3571946777


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website/docs/streaming-lakehouse/integrate-data-lakes/catalogs/hive.md:
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+---
+title: Hive Metastore
+sidebar_position: 3
+---
+
+# Hive Metastore
+
+## Introduction
+
+The **Hive Metastore (HMS)** is a central metadata repository commonly used in 
Apache Hadoop and other big data ecosystems to store schema and metadata 
information for tables. Apache Iceberg provides native integration with Hive 
Metastore, storing Iceberg table names and metadata locations directly within 
HMS.
+
+This guide explains how to configure Fluss to use Hive Metastore as its 
Iceberg catalog. For general Iceberg integration details (table mapping, data 
types, limitations), see [Iceberg](../formats/iceberg.md).
+
+## How It Works
+
+When Fluss is configured with Hive Metastore as its Iceberg catalog:
+
+1. **Data ingestion**: Applications write data to Fluss tables using the Fluss 
client (Java/Python), Flink SQL, or any Kafka-compatible producer. Fluss stores 
this data in its real-time log.

Review Comment:
   Kafka-compatible producer?



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