diff --git a/docs/website/docs/walkthroughs/deploy-a-pipeline/deploy-with-dagster.md b/docs/website/docs/walkthroughs/deploy-a-pipeline/deploy-with-dagster.md
index f5ceefbc01..06e570f447 100644
--- a/docs/website/docs/walkthroughs/deploy-a-pipeline/deploy-with-dagster.md
+++ b/docs/website/docs/walkthroughs/deploy-a-pipeline/deploy-with-dagster.md
@@ -60,6 +60,6 @@ For a hands-on project on “Orchestrating unstructured data pipelines with dags
 
 ## Conclusion
 
-In conclusion, integrating `dlt` into the data pipeline ecosystem markedly improves data operations' efficiency and manageability. The combination of `dlt` and Dagster eases the development of data pipelines, making data assets more maintainable and scalable over time. With a wealth of [verified sources](/docs/website/docs/dlt-ecosystem/verified-sources/) available, `dlt` enables streamlined orchestration on Dagster, offering easy management, customization, and maintenance.
+In conclusion, integrating `dlt` into the data pipeline ecosystem markedly improves data operations' efficiency and manageability. The combination of `dlt` and Dagster eases the development of data pipelines, making data assets more maintainable and scalable over time. With a wealth of [verified sources](https://dlthub.com/docs/dlt-ecosystem/verified-sources/) available, `dlt` enables streamlined orchestration on Dagster, offering easy management, customization, and maintenance.
 
 We encourage data engineers and developers to explore the capabilities of `dlt` within the Dagster platform. By levraging `dlt` on Dagster, you can simplify the pipeline development process and gain greater insights and value from your data assets.
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