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Merge pull request #247128 from HeidiSteen/heidist-js
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articles/search/search-howto-large-index.md

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@@ -20,7 +20,7 @@ This article assumes familiarity with the [two basic approaches for importing da
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This article complements [Tips for better performance](search-performance-tips.md), which offers best practices on index and query design. A well-designed index that includes only the fields and attributes you need is an important prerequisite for large-scale indexing.
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> [!NOTE]
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> The strategies described in this article assume a single large data source. If your solution requires indexing from multiple data sources, see [Index multiple data sources in Azure Cognitive Search](/samples/azure-samples/azure-search-dotnet-samples/multiple-data-sources/) for a recommended approach.
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> The strategies described in this article assume a single large data source. If your solution requires indexing from multiple data sources, see [Index multiple data sources in Azure Cognitive Search](/samples/azure-samples/azure-search-dotnet-scale/multiple-data-sources/) for a recommended approach.
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## Index large data using the push APIs
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