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Merge pull request #99922 from HeidiSteen/heidist-gh-kstore
Azure Cognitive Search: Power BI edits
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articles/search/knowledge-store-concept-intro.md

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@@ -122,7 +122,7 @@ Once the enrichments exist in storage, any tool or technology that connects to A
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+ [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.
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+ [Power BI](knowledge-store-connect-power-bi.md) for reporting and analysis. Visualizations are easier if enriched documents contain numeric data. For text, you can build word clouds, use custom visualizations, or consider [Q&A](https://docs.microsoft.com/power-bi/consumer/end-user-q-and-a) for natural language exploration.
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+ [Power BI](knowledge-store-connect-power-bi.md) for reporting and analysis.
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+ [Azure Data Factory](https://docs.microsoft.com/azure/data-factory/) for further manipulation.
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articles/search/knowledge-store-connect-power-bi.md

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@@ -59,7 +59,6 @@ Click **Get Power BI Template** on the **Add cognitive skills** page to retrieve
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![Open Power Query](media/knowledge-store-connect-power-bi/powerbi-edit-queries.png "Open Power Query")
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1. Select *hotelReviewsSsDocument*, and then remove the *PartitionKey*, *RowKey*, and *Timestamp* columns.
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![Edit tables](media/knowledge-store-connect-power-bi/powerbi-edit-table.png "Edit tables")
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1. Click the icon with opposing arrows at the upper right side of the table to expand the *Content*. When the list of columns appears, select all columns, and then deselect columns that start with 'metadata'. Click **OK** to show the selected columns.
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1. Double-click each relationship and make sure that the **Cross-filter direction** is set to **Both**. This enables your visuals to refresh when a filter is applied.
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1. Click on the Report tile on the left navigation pane to explore data through visualizations. For text fields, tables and cards are useful visualizations. You can choose fields from each of the three tables to fill in the table or card.
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<!-- ## Try with larger data sets
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We purposely kept the data set small to avoid charges for a demo walkthrough. For a more realistic experience, you can create and then attach a billable Cognitive Services resource to enable a larger number of transactions against the sentiment analyzer, keyphrase extraction, and language detector skills.

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