diff --git a/docs/connector/spark/iceberg.rst b/docs/connector/spark/iceberg.rst
index c23cd55ee..02959c15d 100644
--- a/docs/connector/spark/iceberg.rst
+++ b/docs/connector/spark/iceberg.rst
@@ -16,22 +16,109 @@
 `Iceberg`_
 ==========
 
+Apache Iceberg is an open table format for huge analytic datasets.
+Iceberg adds tables to compute engines including Spark, Trino, PrestoDB, Flink, Hive and Impala
+using a high-performance table format that works just like a SQL table.
+
+.. tip::
+   This article assumes that you have mastered the basic knowledge and operation of `Iceberg`_.
+   For the knowledge about Iceberg not mentioned in this article,
+   you can obtain it from its `Official Documentation`_.
+
+By using kyuubi, we can run SQL queries towards Iceberg which is more
+convenient, easy to understand, and easy to expand than directly using
+spark to manipulate Iceberg.
 
 Iceberg Integration
 -------------------
 
+To enable the integration of kyuubi spark sql engine and Iceberg through
+Apache Spark Datasource V2 and Catalog APIs, you need to:
+
+- Referencing the Iceberg :ref:`dependencies`
+- Setting the spark extension and catalog :ref:`configurations`
+
 .. _dependencies:
 
 Dependencies
 ************
 
+The **classpath** of kyuubi spark sql engine with Iceberg supported consists of
+
+1. kyuubi-spark-sql-engine-|release|.jar, the engine jar deployed with Kyuubi distributions
+2. a copy of spark distribution
+3. iceberg-spark-runtime-<spark.version>_<scala.version>-<iceberg.version>.jar (example: iceberg-spark-runtime-3.2_2.12-0.14.0.jar), which can be found in the `Maven Central`_
+
+In order to make the Iceberg packages visible for the runtime classpath of engines, we can use one of these methods:
+
+1. Put the Iceberg packages into ``$SPARK_HOME/jars`` directly
+2. Set ``spark.jars=/path/to/iceberg-spark-runtime``
+
+.. warning::
+   Please mind the compatibility of different Iceberg and Spark versions, which can be confirmed on the page of `Iceberg multi engine support`_.
+
 .. _configurations:
 
 Configurations
 **************
 
+To activate functionality of Iceberg, we can set the following configurations:
+
+.. code-block:: properties
+
+   spark.sql.catalog.spark_catalog=org.apache.iceberg.spark.SparkCatalog
+   spark.sql.catalog.spark_catalog.type=hive
+   spark.sql.catalog.spark_catalog.uri=thrift://metastore-host:port
+   spark.sql.extensions=org.apache.iceberg.spark.extensions.IcebergSparkSessionExtensions
 
 Iceberg Operations
 ------------------
 
-.. _Iceberg: https://iceberg.apache.org/
\ No newline at end of file
+Taking ``CREATE TABLE`` as a example,
+
+.. code-block:: sql
+
+   CREATE TABLE foo (
+     id bigint COMMENT 'unique id',
+     data string)
+   USING iceberg;
+
+Taking ``SELECT`` as a example,
+
+.. code-block:: sql
+
+   SELECT * FROM foo;
+
+Taking ``INSERT`` as a example,
+
+.. code-block:: sql
+
+   INSERT INTO foo VALUES (1, 'a'), (2, 'b'), (3, 'c');
+
+Taking ``UPDATE`` as a example, Spark 3.1 added support for UPDATE queries that update matching rows in tables.
+
+.. code-block:: sql
+
+   UPDATE foo SET data = 'd', id = 4 WHERE id >= 3 and id < 4;
+
+Taking ``DELETE FROM`` as a example, Spark 3 added support for DELETE FROM queries to remove data from tables.
+
+.. code-block:: sql
+
+   DELETE FROM foo WHERE id >= 1 and id < 2;
+
+Taking ``MERGE INTO`` as a example,
+
+.. code-block:: sql
+
+   MERGE INTO target_table t
+   USING source_table s
+   ON t.id = s.id
+   WHEN MATCHED AND s.opType = 'delete' THEN DELETE
+   WHEN MATCHED AND s.opType = 'update' THEN UPDATE SET id = s.id, data = s.data
+   WHEN NOT MATCHED AND s.opType = 'insert' THEN INSERT (id, data) VALUES (s.id, s.data);
+
+.. _Iceberg: https://iceberg.apache.org/
+.. _Official Documentation: https://iceberg.apache.org/docs/latest/
+.. _Maven Central: https://mvnrepository.com/artifact/org.apache.iceberg
+.. _Iceberg multi engine support: https://iceberg.apache.org/multi-engine-support/