Added Retiremenr Banner

Author: Sreekanth Iyer (Ushta Te Consultancy Services)

articles/hdinsight-aks/flink/application-mode-cluster-on-hdinsight-on-aks.md

@@ -8,9 +8,11 @@ ms.date: 03/21/2024
 
 # Apache Flink Application Mode cluster on HDInsight on AKS
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
 
+
 HDInsight on AKS now offers a Flink Application mode cluster. This cluster lets you manage cluster Flink application mode lifecycle using the Azure portal with easy-to-use interface and Azure Resource Management Rest APIs. Application mode clusters are designed to support large and long-running jobs with dedicated resources, and handle resource-intensive or extensive data processing tasks. 
 
 This deployment mode enables you to assign dedicated resources for specific Flink applications, ensuring that they have enough computing power and memory to handle large workloads efficiently.  

articles/hdinsight-aks/flink/assign-kafka-topic-event-message-to-azure-data-lake-storage-gen2.md

@@ -8,8 +8,10 @@ ms.date: 03/29/2024
 
 # Write event messages into Azure Data Lake Storage Gen2 with Apache Flink® DataStream API
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 Apache Flink uses file systems to consume and persistently store data, both for the results of applications and for fault tolerance and recovery. In this article, learn how to write event messages into Azure Data Lake Storage Gen2 with DataStream API. 
 
 ## Prerequisites

articles/hdinsight-aks/flink/azure-service-bus-demo.md

@@ -7,8 +7,10 @@ ms.date: 04/02/2024
 ---
 # Use Apache Flink on HDInsight on AKS with Azure Service Bus
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 This article provides an overview and demonstration of Apache Flink DataStream API on HDInsight on AKS for Azure Service Bus. A Flink job demonstration is designed to read messages from an [Azure Service Bus](/azure/service-bus-messaging/service-bus-messaging-overview) and writes them to [Azure Data Lake Storage Gen2](./assign-kafka-topic-event-message-to-azure-data-lake-storage-gen2.md) (ADLS Gen2).
 
 ## Prerequisites

articles/hdinsight-aks/flink/change-data-capture-connectors-for-apache-flink.md

@@ -8,8 +8,10 @@ ms.date: 04/02/2024
 
 # Change Data Capture of SQL Server with Apache Flink® DataStream API and DataStream Source on HDInsight on AKS
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 Change Data Capture (CDC) is a technique you can use to track row-level changes in database tables in response to create, update, and delete operations. In this article, we use [CDC Connectors for Apache Flink®](https://github.com/ververica/flink-cdc-connectors), which offer a set of source connectors for Apache Flink. The connectors integrate [Debezium®](https://nightlies.apache.org/flink/flink-docs-master/docs/connectors/table/formats/debezium/#debezium-format) as the engine to capture the data changes. 
 
 In this article, learn how to perform Change Data Capture of SQL Server using Datastream API. The SQLServer CDC connector can also be a DataStream source.

articles/hdinsight-aks/flink/cosmos-db-for-apache-cassandra.md

@@ -8,8 +8,10 @@ ms.date: 04/02/2024
 
 # Sink Apache Kafka® messages into Azure Cosmos DB for Apache Cassandra, with Apache Flink® on HDInsight on AKS
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 This example uses [Apache Flink](../flink/flink-overview.md) to sink [HDInsight for Apache Kafka](/azure/hdinsight/kafka/apache-kafka-introduction) messages into [Azure Cosmos DB for Apache Cassandra](/azure/cosmos-db/cassandra/introduction).
 
 This example is prominent when Engineers prefer real-time aggregated data for analysis. With access to historical aggregated data, you can build machine learning (ML) models to build insights or actions. You can also ingest IoT data into Apache Flink to aggregate data in real-time and store it in Apache Cassandra.

articles/hdinsight-aks/flink/create-kafka-table-flink-kafka-sql-connector.md

@@ -8,8 +8,10 @@ ms.date: 03/14/2024
 
 # Create Apache Kafka® table on Apache Flink® on HDInsight on AKS
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 Using this example, learn how to Create Kafka table on Apache FlinkSQL.
 
 ## Prerequisites

articles/hdinsight-aks/flink/datastream-api-mongodb.md

@@ -8,8 +8,10 @@ ms.date: 03/22/2024
 
 # Use Apache Flink® DataStream API on HDInsight on AKS for MongoDB as a source and sink  
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 Apache Flink provides a MongoDB connector for reading and writing data from and to MongoDB collections with at-least-once guarantees.
 
 This example demonstrates on how to use Apache Flink 1.17.0 on HDInsight on AKS along with your existing MongoDB as Sink and Source with Flink DataStream API MongoDB connector.

articles/hdinsight-aks/flink/fabric-lakehouse-flink-datastream-api.md

@@ -7,8 +7,10 @@ ms.date: 03/23/2024
 ---
 # Connect to OneLake in Microsoft Fabric with HDInsight on AKS cluster for Apache Flink®
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 This example demonstrates on how to use HDInsight on AKS cluster for Apache Flink® with [Microsoft Fabric](/fabric/get-started/microsoft-fabric-overview).
 
 [Microsoft Fabric](/fabric/get-started/microsoft-fabric-overview) is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. 

articles/hdinsight-aks/flink/flink-catalog-delta-hive.md

@@ -8,8 +8,10 @@ ms.date: 03/29/2024
 
 # Create Delta Catalog with Apache Flink® on Azure HDInsight on AKS
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 [Delta Lake](https://docs.delta.io/latest/delta-intro.html) is an open source project that enables building a Lakehouse architecture on top of data lakes. Delta Lake provides ACID transactions, scalable metadata handling, and unifies streaming and batch data processing on top of existing data lakes.
 
 In this article, we learn how Apache Flink SQL/TableAPI is used to implement a Delta catalog for Apache Flink, with Hive Catalog. Delta Catalog delegates all metastore communication to Hive Catalog. It uses the existing logic for Hive or In-Memory metastore communication that is already implemented in Flink.

articles/hdinsight-aks/flink/flink-catalog-iceberg-hive.md

@@ -8,8 +8,10 @@ ms.date: 04/19/2024
 
 # Create Iceberg Catalog in Apache Flink® on HDInsight on AKS
 
+[!INCLUDE [retirement-notice](../includes/retirement-notice.md)]
 [!INCLUDE [feature-in-preview](../includes/feature-in-preview.md)]
 
+
 [Apache Iceberg](https://iceberg.apache.org/) is an open table format for huge analytic datasets. Iceberg adds tables to compute engines like Apache Flink, using a high-performance table format that works just like a SQL table. Apache Iceberg [supports](https://iceberg.apache.org/multi-engine-support/#apache-flink) both Apache Flink’s DataStream API and Table API.
 
 In this article, we learn how to use Iceberg Table managed in Hive catalog, with Apache Flink on HDInsight on AKS cluster.