Merge pull request #313758 from spelluru/asafreshness0326

Retired the Power BI article

Author: JillGrant615

articles/stream-analytics/.openpublishing.redirection.stream-analytics.json

@@ -1,5 +1,10 @@
 {
-    "redirections": [                
+    "redirections": [             
+        {
+            "source_path_from_root": "/articles/stream-analytics/no-code-build-power-bi-dashboard.md",
+            "redirect_url": "https://techcommunity.microsoft.com/blog/analyticsonazure/simplifying-migration-to-fabric-real-time-intelligence-for-power-bi-real-time-re/4283180",
+            "redirect_document_id": false
+        },
         {
             "source_path_from_root": "/articles/stream-analytics/custom-deserializer-examples.md",
             "redirect_url": "/azure/stream-analytics/stream-analytics-introduction",

articles/stream-analytics/TOC.yml

@@ -245,8 +245,6 @@
       href: move-cluster.md  
   - name: Build with no code editor
     items:
-    - name: Build real-time dashboard with Power BI dataset
-      href: no-code-build-power-bi-dashboard.md
     - name: Capture Event Hubs data in Delta Lake format
       href: capture-event-hub-data-delta-lake.md
     - name: Capture Event Hubs data in Parquet format

articles/stream-analytics/no-code-build-power-bi-dashboard.md

@@ -32,9 +32,6 @@ Before you start, make sure you complete the following steps:
 1. If you don't have an Azure subscription, create a [free account](https://azure.microsoft.com/pricing/purchase-options/azure-account?cid=msft_learn).
 1. Deploy the TollApp event generator to Azure. Use this link to [Deploy TollApp Azure Template](https://portal.azure.com/#create/Microsoft.Template/uri/https%3A%2F%2Fraw.githubusercontent.com%2FAzure%2Fazure-stream-analytics%2Fmaster%2FSamples%2FTollApp%2FVSProjects%2FTollAppDeployment%2Fazuredeploy.json). Set the `interval` parameter to 1. Use a new resource group for this step.
 1. Create an [Azure Synapse Analytics workspace](../synapse-analytics/get-started-create-workspace.md) with a [Dedicated SQL pool](../synapse-analytics/get-started-analyze-sql-pool.md#create-a-dedicated-sql-pool).
-    > [!NOTE]
-    > If you want to build the real-time Power BI dashboard directly without capturing the data into a database, you can skip steps 3 and 4. Then, go to this guide to [<u>build real-time dashboard with Power BI dataset produced by Stream Analytics job</u>](./no-code-build-power-bi-dashboard.md).
-
 1. [Create a table](../synapse-analytics/sql/get-started-visual-studio.md) named `carsummary` by using your Dedicated SQL pool. Run the following SQL script:
     ```SQL
     CREATE TABLE carsummary   

articles/stream-analytics/no-code-power-bi-tutorial.md

@@ -58,7 +58,6 @@ To access the no-code editor for building your stream analytics job, there are t
 
    The predefined templates can assist you in developing and running a job to address various scenarios, including:
 
-    - [Build real-time dashboard with Power BI dataset](./no-code-build-power-bi-dashboard.md)
     - [Capture data from Event Hubs in Delta Lake format (preview)](./capture-event-hub-data-delta-lake.md)
     - [Filtering and ingesting to Azure Synapse SQL](./filter-ingest-synapse-sql.md)
     - [Capturing your Event Hubs data in Parquet format in Azure Data Lake Storage Gen2](./capture-event-hub-data-parquet.md)
@@ -355,7 +354,7 @@ For more information about Azure Data Explorer output for a Stream Analytics job
 
 ### Power BI
 
-[Power BI](https://powerbi.microsoft.com/) offers a comprehensive visualization experience for your data analysis result. With Power BI output to Stream Analytics, the processed streaming data is written to Power BI streaming dataset, then it can be used to build the near real-time Power BI dashboard. To learn more about how to build the near real-time dashboard, see [Build real-time dashboard with Power BI dataset produced from Stream Analytics no code editor](./no-code-build-power-bi-dashboard.md).
+[Power BI](https://powerbi.microsoft.com/) offers a comprehensive visualization experience for your data analysis result. With Power BI output to Stream Analytics, the processed streaming data is written to Power BI streaming dataset, then it can be used to build the near real-time Power BI dashboard. 
 
 To configure Power BI as output, select **Power BI** under the **Outputs** section on the ribbon. Then fill in the needed information to connect your Power BI workspace and provide the names for the streaming dataset and table that you want to write the data to. To learn more about the details of each field, see [Power BI output from Azure Stream Analytics](./power-bi-output.md).