Docs: Fix Flink Getting Started page

docs/docs/flink.md

@@ -77,11 +77,11 @@ Start the Flink SQL client. There is a separate `flink-runtime` module in the Ic
 # HADOOP_HOME is your hadoop root directory after unpack the binary package.
 export HADOOP_CLASSPATH=`$HADOOP_HOME/bin/hadoop classpath`   
 
-# Below works for 1.15 or less
-./bin/sql-client.sh embedded -j <flink-runtime-directory>/iceberg-flink-runtime-1.15-{{ icebergVersion }}.jar shell
+# Below works for Flink 1.15 or earlier
+./bin/sql-client.sh embedded -j <flink-runtime-directory>/iceberg-flink-runtime-{{ flinkVersionMajor }}-{{ icebergVersion }}.jar shell
 
-# 1.16 or above has a regression in loading external jar via -j option. See FLINK-30035 for details.
-put iceberg-flink-runtime-1.16-{{ icebergVersion }}.jar in flink/lib dir
+# Flink 1.16+ has a regression in loading external jars via -j. See FLINK-30035 for details.
+# put iceberg-flink-runtime-{{ flinkVersionMajor }}-{{ icebergVersion }}.jar in flink/lib dir
 ./bin/sql-client.sh embedded shell
 ```
 
@@ -111,11 +111,11 @@ wget ${FLINK_CONNECTOR_URL}/${FLINK_CONNECTOR_PACKAGE}-${HIVE_VERSION}_${SCALA_V
 ## Flink's Python API
 
 !!! info
-    PyFlink 1.6.1 [does not work on OSX with a M1 cpu](https://issues.apache.org/jira/browse/FLINK-28786)
+    PyFlink 1.6.1 has a known issue on macOS with Apple Silicon. See [FLINK-28786](https://issues.apache.org/jira/browse/FLINK-28786).
 
 Install the Apache Flink dependency using `pip`:
 
-```python
+```bash
 pip install apache-flink=={{ flinkVersion }}
 ```
 
@@ -175,20 +175,20 @@ Run a query:
 
 For more details, please refer to the [Python Table API](https://ci.apache.org/projects/flink/flink-docs-release-{{ flinkVersionMajor }}/docs/dev/python/table/intro_to_table_api/).
 
-## Adding catalogs.
+## Adding catalogs
 
-Flink support to create catalogs by using Flink SQL.
+Flink supports creating catalogs using Flink SQL.
 
 ### Catalog Configuration
 
 A catalog is created and named by executing the following query (replace `<catalog_name>` with your catalog name and
-`<config_key>`=`<config_value>` with catalog implementation config):
+`'<config_key>' = '<config_value>'` with catalog implementation config):
 
 ```sql
 CREATE CATALOG <catalog_name> WITH (
   'type'='iceberg',
-  `<config_key>`=`<config_value>`
-); 
+  '<config_key>' = '<config_value>'
+);
 ```
 
 The following properties can be set globally and are not limited to a specific catalog implementation:
@@ -245,15 +245,15 @@ INSERT INTO `hive_catalog`.`default`.`sample` VALUES (1, 'a');
 INSERT INTO `hive_catalog`.`default`.`sample` SELECT id, data from other_kafka_table;
 ```
 
-To replace data in the table with the result of a query, use `INSERT OVERWRITE` in batch job (flink streaming job does not support `INSERT OVERWRITE`). Overwrites are atomic operations for Iceberg tables.
+To replace data in the table with the result of a query, use `INSERT OVERWRITE` in a batch job (Flink streaming jobs do not support `INSERT OVERWRITE`). Overwrites are atomic operations for Iceberg tables.
 
 Partitions that have rows produced by the SELECT query will be replaced, for example:
 
 ```sql
 INSERT OVERWRITE `hive_catalog`.`default`.`sample` VALUES (1, 'a');
 ```
 
-Iceberg also support overwriting given partitions by the `select` values:
+Iceberg also supports overwriting given partitions by the `SELECT` values:
 
 ```sql
 INSERT OVERWRITE `hive_catalog`.`default`.`sample` PARTITION(data='a') SELECT 6;
@@ -276,8 +276,10 @@ env.execute("Test Iceberg DataStream");
 ```
 
 ### Branch Writes
-Writing to branches in Iceberg tables is also supported via the `toBranch` API in `FlinkSink`
+Writing to branches in Iceberg tables is also supported via the `toBranch` API in `FlinkSink`.
+
 For more information on branches please refer to [branches](branching.md).
+
 ```java
 FlinkSink.forRowData(input)
     .tableLoader(tableLoader)
@@ -287,15 +289,15 @@ FlinkSink.forRowData(input)
 
 ## Reading
 
-Submit a Flink __batch__ job using the following sentences:
+Submit a Flink __batch__ job using the following statements:
 
 ```sql
 -- Execute the flink job in batch mode for current session context
 SET execution.runtime-mode = batch;
 SELECT * FROM `hive_catalog`.`default`.`sample`;
 ```
 
-Iceberg supports processing incremental data in flink __streaming__ jobs which starts from a historical snapshot-id:
+Iceberg supports processing incremental data in Flink __streaming__ jobs that start from a historical snapshot ID:
 
 ```sql
 -- Submit the flink job in streaming mode for current session.
@@ -314,10 +316,10 @@ SELECT * FROM `hive_catalog`.`default`.`sample` /*+ OPTIONS('streaming'='true',
 SQL is also the recommended way to inspect tables. To view all of the snapshots in a table, use the snapshots metadata table:
 
 ```sql
-SELECT * FROM `hive_catalog`.`default`.`sample`.`snapshots`
+SELECT * FROM `hive_catalog`.`default`.`sample$snapshots`;
 ```
 
-Iceberg support streaming or batch read in Java API:
+Iceberg supports streaming or batch reads in the Java API:
 
 ```
 DataStream<RowData> batch = FlinkSource.forRowData()