Improved Acrolinx Score

Improved Acrolinx Score

Author: sreekzz

articles/hdinsight-aks/flink/join-stream-kafka-table-filesystem.md

@@ -1,6 +1,6 @@
 ---
 title: Enrich the events from Apache Kafka® with the attributes from FileSystem with Apache Flink®
-description: Learn how to join stream from Kafka with table from fileSystem using Apache Flink® DataStream API
+description: Learn how to join stream from Kafka with table from fileSystem using Apache Flink® DataStream API.
 ms.service: hdinsight-aks
 ms.topic: how-to
 ms.date: 03/14/2024
@@ -10,13 +10,13 @@ ms.date: 03/14/2024
 
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
-In this article, you can learn how you can enrich the real time events by joining a stream from Kafka with table on ADLS Gen2 using Flink Streaming. We use Flink Streaming API to join events from HDInsight Kafka with attributes from ADLS Gen2, further we use attributes-joined events to sink into another Kafka topic.
+In this article, you can learn how you can enrich the real time events by joining a stream from Kafka with table on ADLS Gen2 using Flink Streaming. We use Flink Streaming API to join events from HDInsight Kafka with attributes from ADLS Gen2. Further we use attributes-joined events to sink into another Kafka topic.
 
 ## Prerequisites
 
 * [Flink cluster on HDInsight on AKS](../flink/flink-create-cluster-portal.md) 
 * [Kafka cluster on HDInsight](../../hdinsight/kafka/apache-kafka-get-started.md)
-    *  You're required to ensure the network settings are taken care as described on [Using Kafka on HDInsight](../flink/process-and-consume-data.md); that's to make sure HDInsight on AKS and HDInsight clusters are in the same VNet 
+    *  Ensure the network settings are taken care as described on [Using Kafka on HDInsight](../flink/process-and-consume-data.md) to make sure HDInsight on AKS and HDInsight clusters are in the same VNet 
 * For this demonstration, we're using a Window VM as maven project develop environment in the same VNet as HDInsight on AKS  
 
 ## Kafka topic preparation
@@ -45,7 +45,7 @@ We're creating a topic called `user_events`.
 
 ## Prepare file on ADLS Gen2
 
-We are creating a file called `item attributes` in our storage
+We're creating a file called `item attributes` in our storage
 
 - The purpose is to read a batch of `item attributes` from a file on ADLS Gen2. Each item has the following fields:
   ```
@@ -59,7 +59,7 @@ We are creating a file called `item attributes` in our storage
 
 ## Develop the Apache Flink job 
 
-In this step we perform the following activities
+In this step, we perform the following activities
 - Enrich the `user_events` topic from Kafka by joining with `item attributes` from a file on ADLS Gen2.
 - We push the outcome of this step, as an enriched user activity of events into a Kafka topic.
 
@@ -259,7 +259,7 @@ public class KafkaJoinGen2Demo {
 }
 ```
 
-## Package jar and submit to Apache Flink
+## Package jar, and submit to Apache Flink
 
 We're submitting the packaged jar to Flink:
 
@@ -270,13 +270,13 @@ We're submitting the packaged jar to Flink:
 
 ### Produce real-time `user_events` topic on Kafka
 
- We are able to produce real-time user behavior event `user_events` in Kafka.
+ We're able to produce real-time user behavior event `user_events` in Kafka.
 
 :::image type="content" source="./media/join-stream-kafka-table-filesystem/step-5-kafka-3-2.png" alt-text="Screenshot showing a real-time user behavior event on Kafka 3.2." border="true" lightbox="./media/join-stream-kafka-table-filesystem/step-5-kafka-3-2.png":::
 
 ### Consume the `itemAttributes` joining with `user_events` on Kafka
 
-We are now using `itemAttributes` on filesystem join user activity events `user_events`.
+We're now using `itemAttributes` on filesystem join user activity events `user_events`.
 
 :::image type="content" source="./media/join-stream-kafka-table-filesystem/step-6-kafka-3-2.png" alt-text="Screenshot showing Consume the item attributes-joined user activity events on Kafka 3.2." border="true" lightbox="./media/join-stream-kafka-table-filesystem/step-6-kafka-3-2.png":::