diff --git a/_posts/2022-10-25-datafusion-13.0.0.md b/_posts/2022-10-25-datafusion-13.0.0.md
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--- a/_posts/2022-10-25-datafusion-13.0.0.md
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@@ -41,7 +41,7 @@ Even though DataFusion is 4 years "young," it has seen significant community gro
 # Background
 
 
-DataFusion is used as the engine in [many open source and commercial projects](https://github.com/apache/arrow-datafusion#known-uses) and was one of the early open source projects to provide this capability. 2022 has validated our belief in the need for such a ["LLVM for database and AI systems"](https://docs.google.com/presentation/d/1iNX_35sWUakee2q3zMFPyHE4IV2nC3lkCK_H6Y2qK84/edit#slide=id.p) with announcements such as the [release of FaceBook's Velox](https://engineering.fb.com/2022/08/31/open-source/velox/) engine, the major investments in [Acero](https://arrow.apache.org/docs/cpp/streaming_execution.html) as well as the continued popularity of [Apache Calcite](https://calcite.apache.org/) and other similar technologies.
+DataFusion is used as the engine in [many open source and commercial projects](https://github.com/apache/arrow-datafusion#known-uses) and was one of the early open source projects to provide this capability. 2022 has validated our belief in the need for such a ["LLVM for database and AI systems"](https://docs.google.com/presentation/d/1iNX_35sWUakee2q3zMFPyHE4IV2nC3lkCK_H6Y2qK84/edit#slide=id.p)[(alternate link)](https://www.slideshare.net/AndrewLamb32/20220623-apache-arrow-and-datafusion-changing-the-game-for-implementing-database-systemspdf) with announcements such as the [release of FaceBook's Velox](https://engineering.fb.com/2022/08/31/open-source/velox/) engine, the major investments in [Acero](https://arrow.apache.org/docs/cpp/streaming_execution.html) as well as the continued popularity of [Apache Calcite](https://calcite.apache.org/) and other similar technologies.
 
 While Velox and Acero focus on execution engines, DataFusion provides the entire suite of components needed to build most analytic systems, including a SQL frontend, a dataframe API, and  extension points for just about everything. Some [DataFusion users](https://github.com/apache/arrow-datafusion#known-uses) use a subset of the features such as the frontend (e.g. [dask-sql](https://dask-sql.readthedocs.io/en/latest/)) or the execution engine, (e.g.  [Blaze](https://github.com/blaze-init/blaze)), and some use many different components to build both SQL based and customized DSL based systems such as [InfluxDB IOx](https://github.com/influxdata/influxdb_iox/pulls) and [VegaFusion](https://github.com/vegafusion/vegafusion).