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Author: Hein

tutorials/client/data/compound-indexing-query-performance.mdx

@@ -1,12 +1,12 @@
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 title: Best Practices for Compound Indexing and Query Optimization in PowerSync
-description: In this tutorial we will show you the Best Practices for Compound Indexing and Query Optimization using the [PowerSync Web SDK](https://github.com/powersync-ja/powersync-js).
-sidebarTitle: Compound Indexing & Query Performance
+description: In this tutorial we will show you the Best Practices for Compound Indexing and Query Optimization using the [PowerSync Web SDK](https://docs.powersync.com/client-sdk-references/javascript-web).
+sidebarTitle: Compound Indexing & Query Performances
 ---
 
 ## Introduction
 
-This tutorial outlines findings and recommendations based on extensive testing of compound indexes, query execution, and table performance using the [PowerSync Web SDK](https://github.com/powersync-ja/powersync-js).
+This tutorial outlines findings and recommendations based on extensive testing of compound indexes, query execution, and table performance using the [PowerSync Web SDK](https://docs.powersync.com/client-sdk-references/javascript-web).
 These best practices are designed to assist developers in optimizing their schemas and queries when working with large datasets.
 
 ## Key Findings
@@ -136,5 +136,4 @@ console.timeEnd('Query with reordered index');
 
 ## Conclusion
 
-By following these best practices and leveraging PowerSync's schema capabilities, developers can achieve significant performance gains and ensure scalability for their applications.
-The findings above can be integrated directly into PowerSync's documentation to assist other developers in navigating these challenges effectively.
+By adhering to these best practices and utilizing PowerSync’s schema capabilities, applications can achieve significant performance improvements whilst ensuring scalability.