update

README.md

@@ -30,23 +30,25 @@ in-memory format. [Python Bindings](https://github.com/apache/arrow-datafusion-p
 DataFusion offers SQL and Dataframe APIs, excellent [performance](https://benchmark.clickhouse.com/), built-in support for CSV, Parquet, JSON, and Avro, extensive customization, and a great community.
 
 
-Here's are links to some key documentation:
+Here are links to some important information
 * [Project Site](https://arrow.apache.org/datafusion)
-* [Rust Getting started](https://arrow.apache.org/datafusion/user-guide/example-usage.html)
+* [Rust Getting Started](https://arrow.apache.org/datafusion/user-guide/example-usage.html)
 * [Rust DataFrame API](https://arrow.apache.org/datafusion/user-guide/dataframe.html)
 * [Rust API docs](https://docs.rs/datafusion/latest/datafusion)
+* [Rust Examples](https://github.com/apache/arrow-datafusion/tree/master/datafusion-examples)
 * [Python DataFrame API](https://arrow.apache.org/datafusion-python/)
 * [Architecture](https://docs.rs/datafusion/latest/datafusion/index.html#architecture)
 
 
-## Using DataFusion
+## Notable projects that are build with DataFusion
+
+DataFusion is great for building other data projects like SQL interfaces, time series platforms, and custom query languages.  [Click Here](https://arrow.apache.org/datafusion/user-guide/introduction.html#known-users) to see a list projects.
+
 
-The [example usage] section in the user guide and the [datafusion-examples] code in the crate contain information on using DataFusion.
 
 ## Contributing to DataFusion
 
 The [developer’s guide] contains information on how to contribute.
 
-[example usage]: https://arrow.apache.org/datafusion/user-guide/example-usage.html
-[datafusion-examples]: https://github.com/apache/arrow-datafusion/tree/master/datafusion-examples
+
 [developer’s guide]: https://arrow.apache.org/datafusion/contributor-guide/index.html#developer-s-guide