qzyu999 commented on code in PR #3424:
URL: https://github.com/apache/fluss/pull/3424#discussion_r3598368986


##########
website/docs/streaming-lakehouse/integrate-data-lakes/catalogs/glue.md:
##########
@@ -0,0 +1,411 @@
+---
+title: AWS Glue
+sidebar_position: 2
+---
+
+# AWS Glue
+
+## Introduction
+
+[AWS Glue](https://aws.amazon.com/glue/) is a serverless data integration 
service that includes a central metadata repository known as the AWS Glue Data 
Catalog. The Glue Data Catalog is compatible with Apache Iceberg, making it a 
convenient option for managing Iceberg table metadata on AWS.
+
+This guide explains how to configure Fluss to use AWS Glue 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 AWS Glue 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 (similar to Kafka topics).
+2. **Tiering to Iceberg**: A separate Flink job (the [tiering 
service](maintenance/tiered-storage/lakehouse-storage.md#start-the-datalake-tiering-service))
 periodically reads accumulated data from Fluss, converts it to Parquet format, 
writes the files to S3, and commits an Iceberg snapshot to the Glue Data 
Catalog.
+3. **Query via Athena/Spark/Trino**: Any Iceberg-compatible engine can 
discover and query the tiered tables through AWS Glue — no additional 
configuration needed.
+
+```
+┌─ Data Sources ─────────┐     ┌─ Fluss Cluster ──────┐     ┌─ AWS 
────────────────────┐

Review Comment:
   Hi @leekeiabstraction, fixed in 93986a3, made diagrams more precise. 
Verified via code: the Coordinator creates the table in Glue (on CREATE TABLE), 
while the tiering job writes Parquet to S3 AND commits the Iceberg snapshot to 
Glue (via Iceberg SDK's GlueCatalog). Arrows now reflect this clearly, with 
dashed lines for read paths.



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