Removed obsolete Power Query query folding article

Author: DougKlopfenstein

.openpublishing.redirection.json

@@ -27,7 +27,7 @@
     },
     {
       "source_path": "powerquery-docs/HandlingQueryFolding.md",
-      "redirect_url": "/power-query/power-query-folding",
+      "redirect_url": "/power-query/query-folding-basics",
       "redirect_document_id": "false"
     },
     {
@@ -449,6 +449,11 @@
       "source_path": "powerquery-docs/dataflows/linked-entities.md",
       "redirect_url": "/power-query/dataflows/linked-tables",
       "redirect_document_id": "true"
+    },
+    {
+      "source_path": "powerquery-docs/power-query-folding.md",
+      "redirect_url": "/power-query/query-folding-basics",
+      "redirect_document_id": "true"
     }
-      ]
+  ]
 }

powerquery-docs/applied-steps.md

@@ -2,7 +2,7 @@
 title: Applied steps
 description: Applied steps show the transformations to the data.
 author: ptyx507x
-ms.date: 1/18/2024
+ms.date: 3/13/2024
 ms.author: miescobar
 ---
 
@@ -47,7 +47,7 @@ The full list of the step parts are:
 * Step settings: Change any settings that are specific to the selected step. Not all steps have settings. More information: [Edit settings](#edit-settings)
 * Query folding indicator: Provides a graphic representation of the query folding status of the selected step. This indicator isn't available in Power Query Desktop. More information: [Query folding indicators](step-folding-indicators.md)
 
-In Power Query Online, if you hover the mouse cursor over one of the applied steps, an informational display opens, listing the step name, step label, step description, step settings, information about the step query folding, and a learn more link to the [Query folding indicators](step-folding-indicators.md) article. For more information about query folding, go to [Power Query query folding](power-query-folding.md). The step label is automatically generated when the step is created, and indicates the step type, as does the step icon. The step label and the step icon can't be changed.
+In Power Query Online, if you hover the mouse cursor over one of the applied steps, an informational display opens, listing the step name, step label, step description, step settings, information about the step query folding, and a learn more link to the [Query folding indicators](step-folding-indicators.md) article. For more information about query folding, go to [Overview of query evaluation and query folding in Power Query](query-folding-basics.md). The step label is automatically generated when the step is created, and indicates the step type, as does the step icon. The step label and the step icon can't be changed.
 
 :::image type="content" source="media/applied-steps/applied-steps-hover.png" alt-text="Image pointing out the step icon, step name, step label, step description, step settings, and query folding description items in the applied steps informational display." lightbox="media/applied-steps/applied-steps-hover.png":::
 

powerquery-docs/best-practices.md

@@ -2,7 +2,7 @@
 title: Best practices when working with Power Query
 description: Best practices when working with Power Query
 author: ptyx507
-ms.date: 1/18/2024
+ms.date: 3/13/2024
 ms.author: miescobar
 ms.topic: conceptual
 ms.search.form: DataflowGen2 Overview
@@ -15,7 +15,7 @@ This article contains some tips and tricks to make the most out of your data wra
 
 Power Query offers a vast number of data connectors. These connectors range from data sources such as TXT, CSV, and Excel files, to databases such as Microsoft SQL Server, and popular SaaS services such as Microsoft Dynamics 365 and Salesforce. If you don't see your data source listed in the **Get Data** window, you can always use the ODBC or OLEDB connector to connect to your data source.
 
-Using the best connector for the task will provide you with the best experience and performance. For example, using the SQL Server connector instead of the ODBC connector when connecting to a SQL Server database not only provides you with a much better **Get Data** experience, but the SQL Server connector also offers you features that can improve your experience and performance, such as query folding. To read more about query folding, go to [Power Query query folding](power-query-folding.md).
+Using the best connector for the task will provide you with the best experience and performance. For example, using the SQL Server connector instead of the ODBC connector when connecting to a SQL Server database not only provides you with a much better **Get Data** experience, but the SQL Server connector also offers you features that can improve your experience and performance, such as query folding. To read more about query folding, go to [Overview of query evaluation and query folding in Power Query](query-folding-basics.md).
 
 Each data connector follows a standard experience as explained in [Getting data](get-data-experience.md). This standardized experience has a stage called **Data Preview**. In this stage, you're provided with a user-friendly window to select the data that you want to get from your data source, if the connector allows it, and a simple data preview of that data. You can even select multiple data sets from your data source through the **Navigator** window, as shown in the following image.
 
@@ -26,7 +26,7 @@ Each data connector follows a standard experience as explained in [Getting data]
 
 ## Filter early
 
-It's always recommended to filter your data in the early stages of your query or as early as possible. Some connectors will take advantage of your filters through query folding, as described in [Power Query query folding](power-query-folding.md). It's also a best practice to filter out any data that isn't relevant for your case. This will let you better focus on your task at hand by only showing data that’s relevant in the data preview section.
+It's always recommended to filter your data in the early stages of your query or as early as possible. Some connectors will take advantage of your filters through query folding, as described in [Overview of query evaluation and query folding in Power Query](query-folding-basics.md). It's also a best practice to filter out any data that isn't relevant for your case. This will let you better focus on your task at hand by only showing data that’s relevant in the data preview section.
 
 You can use the auto filter menu that displays a distinct list of the values found in your column to select the values that you want to keep or filter out. You can also use the search bar to help you find the values in your column.
 

powerquery-docs/connectors/fhir/fhir-query-folding.md

@@ -3,13 +3,13 @@ title: FHIR Power Query folding
 description: Power Query connector for FHIR query folding
 author: hansenms
 ms.topic: conceptual
-ms.date: 7/25/2023
+ms.date: 3/13/2024
 ms.author: mihansen
 ---
 
 # FHIR query folding
 
-[Power Query folding](../../power-query-folding.md) is the mechanism used by a Power Query connector to turn data transformations into queries that are sent to the data source. This allows Power Query to off-load as much of the data selection as possible to the data source rather than retrieving large amounts of unneeded data only to discard it in the client. The Power Query connector for FHIR includes query folding capabilities, but due to the nature of [FHIR search](https://www.hl7.org/fhir/search.html), special attention must be given to the Power Query expressions to ensure that query folding is performed when possible. This article explains the basics of FHIR Power Query folding and provides guidelines and examples.
+[Power Query folding](../../query-folding-basics#query-folding-overview.md) is the mechanism used by a Power Query connector to turn data transformations into queries that are sent to the data source. This allows Power Query to off-load as much of the data selection as possible to the data source rather than retrieving large amounts of unneeded data only to discard it in the client. The Power Query connector for FHIR includes query folding capabilities, but due to the nature of [FHIR search](https://www.hl7.org/fhir/search.html), special attention must be given to the Power Query expressions to ensure that query folding is performed when possible. This article explains the basics of FHIR Power Query folding and provides guidelines and examples.
 
 ## FHIR and query folding
 

powerquery-docs/dataflows/performance-ingestion-transformation-dataflows.md

@@ -3,7 +3,7 @@ title: Improve performance and reusability by separating data ingestion from dat
 description: Learn how to improve performance and reusability by separating data ingestion from data transformation dataflows
 author: bensack
 ms.topic: conceptual
-ms.date: 1/6/2023
+ms.date: 3/13/2024
 ms.author: bensack
 ---
 
@@ -42,7 +42,7 @@ Separation of data ingestion dataflows from data transformation dataflows is hel
 
 ## Optimize the data ingestion dataflow
 
-Consider optimizing the data ingestion dataflow whenever possible. As an example, if all the data from the source isn't needed, and the data source supports query folding, then filtering data and getting only a required subset is a good approach. To learn more about query folding, go to [Power Query query folding](../power-query-folding.md).
+Consider optimizing the data ingestion dataflow whenever possible. As an example, if all the data from the source isn't needed, and the data source supports query folding, then filtering data and getting only a required subset is a good approach. To learn more about query folding, go to [Overview of query evaluation and query folding in Power Query](../query-folding-basics.md).
 
 ## Create the data ingestion dataflows as analytical dataflows
 

powerquery-docs/index.yml

@@ -13,7 +13,7 @@ metadata:
   author: dougklopfenstein
   ms.author: dougklo
   ms.custom: 
-    ms.date: 6/13/2023
+    ms.date: 3/13/2024
 
 # linkListType: architecture | concept | deploy | download | get-started | how-to-guide | learn | overview | quickstart | reference | tutorial | whats-new
 
@@ -60,7 +60,7 @@ landingContent:
       - linkListType: concept
         links:
           - text: Query folding
-            url: power-query-folding.md
+            url: query-folding-basics.md
           - text: Query diagnostics
             url: querydiagnostics.md
           - text: Error handling

powerquery-docs/media/power-query-folding/native-query-example.png

@@ -5,7 +5,7 @@ author: ptyx507x
 
 
 ms.topic: tutorial
-ms.date: 1/9/2023
+ms.date: 3/13/2024
 ms.author: miescobar
 ---
 
@@ -38,7 +38,7 @@ To understand more about the query capabilities that an OData service might offe
 >[!Note]
 >As stated above, the **OData.Feed** function will automatically provide query folding capabilities. Since the TripPin series is treating the OData service as a regular REST API, using [Web.Contents](/powerquery-m/web-contents) rather than **OData.Feed**, you'll need to implement the query folding handlers yourself. For real world usage, we recommend that you use **OData.Feed** whenever possible.
 
-Go to [Power Query query folding](../../../power-query-folding.md) for more information about query folding.
+Go to [Overview of query evaluation and query folding in Power Query](../../../query-folding-basics.md) for more information about query folding.
 
 ## Using Table.View
 

powerquery-docs/media/power-query-folding/query-folding-example.png

@@ -47,8 +47,6 @@ items:
         items:
         - name: "Understanding query evaluation and folding"
           href: query-folding-basics.md
-        - name: "Query folding overview"
-          href: power-query-folding.md
         - name: "Query folding examples"
           href: query-folding-examples.md
         - name: "Query folding indicators"