Merge pull request #178596 from HeidiSteen/heidist-storebrowse

 [azure search] update docs and screenshots for Storage Browser

Author: johne2021

articles/search/TOC.yml

@@ -406,7 +406,7 @@
         href: knowledge-store-projections-examples.md 
       - name: Projection example
         href: knowledge-store-projection-example-long.md
-      - name: View with Storage Explorer
+      - name: View with Storage Browser
         href: knowledge-store-view-storage-explorer.md
       - name: Connect with Power BI
         href: knowledge-store-connect-power-bi.md 

articles/search/cognitive-search-concept-intro.md

@@ -116,7 +116,7 @@ Indexes and knowledge stores are fully independent of each other. While you must
 
 When processing is finished, you have a [search index](search-what-is-an-index.md) consisting of enriched documents, fully text-searchable in Azure Cognitive Search. [**Querying the index**](search-query-overview.md) is how developers and users access the enriched content generated by the pipeline. The index is like any other you might create for Azure Cognitive Search: you can supplement text analysis with custom analyzers, invoke fuzzy search queries, add filters, or experiment with scoring profiles to tune search relevance.
 
-You might also have a [knowledge store](knowledge-store-concept-intro.md). The knowledge store contains data that can be consumed in knowledge mining scenarios like analytics or machine learning. You can use [Storage Explorer](knowledge-store-view-storage-explorer.md), [Power BI](knowledge-store-connect-power-bi.md), or any app that connects to Azure Storage.
+You might also have a [knowledge store](knowledge-store-concept-intro.md). The knowledge store contains data that can be consumed in knowledge mining scenarios like analytics or machine learning. You can use [Storage Browser](knowledge-store-view-storage-explorer.md), [Power BI](knowledge-store-connect-power-bi.md), or any app that connects to Azure Storage.
 
 ## Checklist: A typical workflow
 

articles/search/cognitive-search-resources-documentation.md

@@ -38,7 +38,7 @@ The following is a consolidated list of the documentation for AI enrichment.
 
 + [Quickstart: Create a knowledge store in the Azure portal](knowledge-store-create-portal.md)
 + [Create a knowledge store using REST and Postman](knowledge-store-create-rest.md)
-+ [View a knowledge store with Storage Explorer](knowledge-store-view-storage-explorer.md)
++ [View a knowledge store with Storage Browser](knowledge-store-view-storage-explorer.md)
 + [Connect a knowledge store with Power BI](knowledge-store-connect-power-bi.md)
 + [Define projections in a knowledge store](knowledge-store-projections-examples.md)
 

articles/search/knowledge-store-concept-intro.md

@@ -20,7 +20,7 @@ If you have used cognitive skills in the past, you already know that *skillsets*
 
 Physically, a knowledge store is [Azure Storage](../storage/common/storage-account-overview.md), either Azure Table Storage, Azure Blob Storage, or both. Any tool or process that can connect to Azure Storage can consume the contents of a knowledge store.
 
-Viewed through Storage Explorer, a knowledge store looks like any other collection of tables, objects, or files. The following example shows a knowledge store composed of three tables with fields that are either carried forward from the data source, or created through enrichments (see "sentiment score" and "translated_text").
+Viewed through Storage Browser, a knowledge store looks like any other collection of tables, objects, or files. The following example shows a knowledge store composed of three tables with fields that are either carried forward from the data source, or created through enrichments (see "sentiment score" and "translated_text").
 
 :::image type="content" source="media/knowledge-store-concept-intro/kstore-in-storage-explorer.png" alt-text="Skills read and write from enrichment tree" border="true":::
 
@@ -117,7 +117,7 @@ For .NET developers, use the [KnowledgeStore Class](/dotnet/api/azure.search.doc
 
 Once the enrichments exist in storage, any tool or technology that connects to Azure Blob or Table Storage can be used to explore, analyze, or consume the contents. The following list is a start:
 
-+ [Storage Explorer](knowledge-store-view-storage-explorer.md) to view enriched document structure and content. Consider this as your baseline tool for viewing knowledge store contents.
++ [Storage Browser](knowledge-store-view-storage-explorer.md) to view enriched document structure and content. Consider this as your baseline tool for viewing knowledge store contents.
 
 + [Power BI](knowledge-store-connect-power-bi.md) for reporting and analysis. 
 

articles/search/knowledge-store-create-portal.md

@@ -93,9 +93,9 @@ In this wizard step, add skills for AI enrichment. The source data consists of c
 
 1. Scroll down and expand **Save enrichments to knowledge store**.
 
-1. Select **Choose an existing connection** and then select an Azure Storage account. The Containers page will appear, but since we are only creating tables, you can close this page and the Azure Storage page, returning to the **Import data** wizard.
+1. Select **Choose an existing connection** and then select an Azure Storage account. The Containers page will appear so that you can create a container for projections. We recommend adopting a prefix naming convention, such as "kstore-hotel-reviews" to distinguish between source content and knowledge store content.
 
-1. Back in the wizard, select the following **Azure table projections**. The wizard always offers the **Documents** projection. Other projections will be offered depending on the skills you select (such as **Key phrases**), or the enrichment granularity (**Pages**):
+1. Returning to the Import data wizard, select the following **Azure table projections**. The wizard always offers the **Documents** projection. Other projections will be offered depending on the skills you select (such as **Key phrases**), or the enrichment granularity (**Pages**):
 
     + **Documents**
     + **Pages**
@@ -143,13 +143,13 @@ In the Azure portal, switch to your Azure Storage account and use **Storage Brow
 
 + "hotelReviewssKeyPhrases" contains a long list of just the key phrases extracted from all reviews. Skills that output collections (arrays), such as key phrases and entities, will have output sent to a standalone table.
 
-+ "hotelReviewssPages" contains enriched fields created over each page that was split from the document. In this skillset and data source, page-level enrichments consist of a sentiment labels and translated text. A pages table (or a sentences table if you specify that particular level of granularity) is created when you choose "pages" granularity in the skillset definition. 
++ "hotelReviewssPages" contains enriched fields created over each page that was split from the document. In this skillset and data source, page-level enrichments consisting of sentiment labels and translated text. A pages table (or a sentences table if you specify that particular level of granularity) is created when you choose "pages" granularity in the skillset definition. 
 
 All of these tables contain ID columns to support table relationships in other tools and apps. When you open a table, scroll past these fields to view the content fields added by the pipeline.
 
 In this quickstart, the table for "hotelReviewssPages" should look similar to the following screenshot:
 
-   :::image type="content" source="media/knowledge-store-create-portal/azure-table-hotel-reviews.png" alt-text="Screenshot of the generated tables in Storage Explorer" border="true":::
+   :::image type="content" source="media/knowledge-store-create-portal/azure-table-hotel-reviews.png" alt-text="Screenshot of the generated tables in Storage Browser" border="true":::
 
 ## Clean up
 

articles/search/knowledge-store-create-rest.md

@@ -8,11 +8,11 @@ manager: nitinme
 ms.author: heidist
 ms.service: cognitive-search
 ms.topic: tutorial
-ms.date: 09/02/2021
+ms.date: 11/03/2021
 ---
 # Create a knowledge store using REST and Postman
 
-Knowledge store is a feature of Azure Cognitive Search that sends skillset output from an [AI enrichment pipeline](cognitive-search-concept-intro.md) to Azure Storage for subsequent knowledge mining, data analysis, or downstream processing. After the knowledge store is populated, you can use tools like [Storage Explorer](knowledge-store-view-storage-explorer.md) or [Power BI](knowledge-store-connect-power-bi.md) to explore the content.
+Knowledge store is a feature of Azure Cognitive Search that sends skillset output from an [AI enrichment pipeline](cognitive-search-concept-intro.md) to Azure Storage for subsequent knowledge mining, data analysis, or downstream processing. After the knowledge store is populated, you can use tools like [Storage Browser](knowledge-store-view-storage-explorer.md) or [Power BI](knowledge-store-connect-power-bi.md) to explore the content.
 
 In this article, you'll use the REST API to ingest, enrich, and explore a set of customer reviews of hotel stays in a knowledge store in Azure Storage. The end result is a knowledge store that contains original text content pulled from the source, plus AI-generated content that includes a sentiment score, key phrase extraction, language detection, and text translation of non-English customer comments.
 
@@ -33,11 +33,11 @@ Because the workload is so small, Cognitive Services is tapped behind the scenes
 
    Choose the **StorageV2 (general purpose V2)** account type.
 
-1. In the Azure Storage resource, use **Storage Explorer** to create a blob container named **hotel-reviews**.
+1. In the Azure Storage resource, use **Storage Browser** to create a blob container named **hotel-reviews**.
 
 1. Select **Upload** at the top of the page to load the **HotelReviews-Free.csv** file you downloaded from the previous step.
 
-   :::image type="content" source="media/knowledge-store-create-portal/blob-container-storage-explorer.png" alt-text="Screenshot of Storage Explorer with uploaded file and left nav pane" border="true":::
+   :::image type="content" source="media/knowledge-store-create-portal/blob-container-storage-explorer.png" alt-text="Screenshot of Storage Browser with uploaded file and left nav pane" border="true":::
 
 1. You are almost done with this resource, but before you leave these pages, select **Access Keys** on the left navigation pane to get a connection string so that you can retrieve this data using the indexer.
 
@@ -367,13 +367,13 @@ After you send each request, the search service should respond with a 201 succes
 
 In the Azure portal, go to the Azure Cognitive Search service's **Overview** page. Select the **Indexers** tab, and then select **hotels-reviews-ixr**. Within a minute or two, status should progress from "In progress" to "Success" with zero errors and warnings.
 
-## Check tables in Storage Explorer
+## Check tables in Storage Browser
 
-In the Azure portal, switch to your Azure Storage account and use **Storage Explorer** to view the new tables. You should see six tables, one for each projection defined in the skillset.
+In the Azure portal, switch to your Azure Storage account and use **Storage Browser** to view the new tables. You should see six tables, one for each projection defined in the skillset.
 
 Each table is generated with the IDs necessary for cross-linking the tables in queries. When you open a table, scroll past these fields to view the content fields added by the pipeline.
 
-   :::image type="content" source="media/knowledge-store-create-rest/knowledge-store-tables.png" alt-text="Screenshot of the knowledge store tables in Storage Explorer" border="true":::
+   :::image type="content" source="media/knowledge-store-create-portal/azure-table-hotel-reviews.png" alt-text="Screenshot of the knowledge store tables in Storage Browser" border="true":::
 
 In this walkthrough, the knowledge store is composed of a various tables showing different ways of shaping and structuring a table. Tables one through three use output from a Shaper skill to determine the columns and rows. Tables four through six are created from inline shaping instructions, embedded within the projection itself. You can use either approach to achieve the same outcome.
 
@@ -399,9 +399,9 @@ If you are using a free service, remember that you are limited to three indexes,
 
 ## Next steps
 
-Now that you've enriched your data by using Cognitive Services and projected the results to a knowledge store, you can use Storage Explorer or other apps to explore your enriched data set.
+Now that you've enriched your data by using Cognitive Services and projected the results to a knowledge store, you can use Storage Browser or other apps to explore your enriched data set.
 
-To learn how to explore this knowledge store by using Storage Explorer, see this walkthrough:
+To learn how to explore this knowledge store by using Storage Browser, see this walkthrough:
 
 > [!div class="nextstepaction"]
-> [View with Storage Explorer](knowledge-store-view-storage-explorer.md)
+> [View with Storage Browser](knowledge-store-view-storage-explorer.md)

articles/search/knowledge-store-projection-overview.md

@@ -19,7 +19,7 @@ This article introduces projection concepts and workflow so that you have some b
 
 Projections are defined in Cognitive Search skillsets, but the end results are the table, object, and image file projections in Azure Storage.
 
-:::image type="content" source="media/knowledge-store-concept-intro/projections-azure-storage.png" alt-text="Projections expressed in Azure Storage" border="true":::
+:::image type="content" source="media/knowledge-store-concept-intro/kstore-in-storage-explorer.png" alt-text="Projections expressed in Azure Storage" border="true":::
 
 ## Types of projections and usage
 
@@ -138,7 +138,7 @@ Projections have a lifecycle that is tied to the source data in your data source
 
 After the indexer is run, connect to projections and consume the data in other apps and workloads.
 
-+ Use [Storage Explorer](knowledge-store-view-storage-explorer.md) to verify object creation and content.
++ Use [Storage Browser](knowledge-store-view-storage-explorer.md) to verify object creation and content.
 
 + Use [Power BI for data exploration](knowledge-store-connect-power-bi.md). This tool works best when the data is in Azure Table Storage. Within Power BI, you can manipulate data into new tables that are easier to query and analyze.
 

articles/search/knowledge-store-projections-examples.md

@@ -268,7 +268,7 @@ You can process projections by following these steps:
 
 1. [Monitor indexer execution](search-howto-monitor-indexers.md) to check progress and catch any errors.
 
-1. [Use Storage Explorer](knowledge-store-view-storage-explorer.md) to verify object creation in Azure Storage.
+1. [Use Storage Browser](knowledge-store-view-storage-explorer.md) to verify object creation in Azure Storage.
 
 1. If you are projecting tables, [import them into Power BI](knowledge-store-connect-power-bi.md) for table manipulation and visualization. In most cases, Power BI will auto-discover the relationships among tables.
 

articles/search/knowledge-store-view-storage-explorer.md

@@ -1,45 +1,39 @@
 ---
-title: View a knowledge store with Storage Explorer
+title: View a knowledge store
 titleSuffix: Azure Cognitive Search
-description: View and analyze an Azure Cognitive Search knowledge store with the Azure portal's Storage Explorer.
+description: View a knowledge store using the Storage Browser in the Azure portal.
 
 manager: nitinme
 author: HeidiSteen
 ms.author: heidist
 ms.service: cognitive-search
 ms.topic: conceptual
-ms.date: 10/15/2021
+ms.date: 11/03/2021
 ---
 
-# View a knowledge store with Storage Explorer
+# View a knowledge store with Storage Browser
 
-A [knowledge store](knowledge-store-concept-intro.md) is content created by an Azure Cognitive Search skillset and saved to Azure Storage. In this article, you'll learn how to view the contents of a knowledge store using Storage Explorer in the Azure portal.
+A [knowledge store](knowledge-store-concept-intro.md) is content created by an Azure Cognitive Search skillset and saved to Azure Storage. In this article, you'll learn how to view the contents of a knowledge store using Storage Browser in the Azure portal.
 
 Start with an existing knowledge store created in the [Azure portal](knowledge-store-create-portal.md) or using the [REST APIs](knowledge-store-create-rest.md). Both the portal and REST walkthroughs create a knowledge store in Azure Table Storage.
 
-## Start Storage Explorer
+## Start Storage Browser
 
 1. In the Azure portal, [open the Storage account](https://ms.portal.azure.com/#blade/HubsExtension/BrowseResourceBlade/resourceType/Microsoft.Storage%2storageAccounts/) that you used to create the knowledge store.
 
-1. In the storage account's left navigation pane, select **Storage Explorer**.
+1. In the storage account's left navigation pane, select **Storage Browser**.
 
-## View, edit, and query tables
+## View and edit tables
 
-1. Expand the **TABLES** list to show a list of Azure table projections that were created when you created the knowledge store. If you used the quickstart or REST article to create the knowledge store, the tables will contain content related to customer reviews of a European hotel.
+1. Expand **Tables** to find the table projections of your knowledge store. If you used the quickstart or REST article to create the knowledge store, the tables will contain content related to customer reviews of a European hotel.
 
-1. Select a table from the list.
+   :::image type="content" source="media/knowledge-store-concept-intro/kstore-in-storage-explorer.png" alt-text="Screenshot of Storage Browser" border="true":::
 
-   ![View tables in Storage Explorer](media/knowledge-store-view-storage-explorer/storage-explorer-tables.png "View tables in Storage Explorer")
+1. Select a table from the list to views it's contents.
 
-1. To change the data type, property name, or individual data values in your table, click **Edit**.
+1. To rearrange column order or delete a column, select **Edit columns** at the top of the page.
 
-   ![Edit table in Storage Explorer](media/knowledge-store-view-storage-explorer/storage-explorer-edit-table.png "Edit table in Storage Explorer")
-
-1. To run queries, select **Query** on the command bar and enter your conditions.
-
-   ![Query table in Storage Explorer](media/knowledge-store-view-storage-explorer/storage-explorer-query-table.png "Query table in Storage Explorer")
-
-In Storage Explorer, you can only query one table at time using [supported query syntax](/rest/api/storageservices/Querying-Tables-and-Entities). To query across tables, consider using Power BI instead.
+In Storage Browser, you can only query one table at time using [supported query syntax](/rest/api/storageservices/Querying-Tables-and-Entities). To query across tables, consider using Power BI instead.
 
 ## Next steps