Announcement for PyDeequ Glue blogpost

Author: Calvin Wang

README.md

@@ -15,7 +15,10 @@ There are 4 main components of Deequ, and they are:
 - Metrics Repository
     - Allows for persistence and tracking of Deequ runs over time. 
 
-![](https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2019/05/10/DataDeequ1.png)
+![](imgs/pydeequ_architecture.jpg)
+
+## Announcements
+We've release a blogpost on integrating PyDeequ onto AWS leveraging services such as AWS Glue, Athena, and SageMaker! Check it out: [Monitor data quality in your data lake using PyDeequ and AWS Glue](https://aws.amazon.com/blogs/big-data/monitor-data-quality-in-your-data-lake-using-pydeequ-and-aws-glue/).
 
 ## Quickstart