use new data processing workshop URL

Author: samdengler

DataProcessing/README.md

@@ -1,4 +1,4 @@
 # Serverless Data Processing on AWS
 
 This module is now available at
-[https://dataprocessing.wildrydes.com](https://dataprocessing.wildrydes.com).
+[https://data-processing.serverlessworkshops.io/](https://data-processing.serverlessworkshops.io/).

README.md

@@ -8,7 +8,7 @@ This repository contains a collection of workshops and other hands on content th
 
 - [**Auth**](https://auth.serverlessworkshops.io) - This workshop shows you how to build in security at multiple layers of your application, starting with sign-up and sign-in functionality for your application, how to secure serverless microservices, and how to leverage AWS's identity and access management (IAM) to provide fine-grained access control to your application's users. You'll learn how AWS Amplify integrates with Amazon Cognito, Amazon API Gateway, AWS Lambda, and IAM to provide an integrated authentication and authorization experience.
 
-- [**Data Processing**](https://dataprocessing.wildrydes.com) - This workshop demonstrates how to collect, store, and process data with a serverless application. In this workshop you'll learn how to build real-time streaming applications using Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics, how to archive data streams using Amazon Kinesis Data Firehose and Amazon S3, and how to run ad-hoc queries on those files using Amazon Athena.
+- [**Data Processing**](https://data-processing.serverlessworkshops.io/) - This workshop demonstrates how to collect, store, and process data with a serverless application. In this workshop you'll learn how to build real-time streaming applications using Amazon Kinesis Data Streams and Amazon Kinesis Data Analytics, how to archive data streams using Amazon Kinesis Data Firehose and Amazon S3, and how to run ad-hoc queries on those files using Amazon Athena.
 
 - [**DevOps**](https://cicd.serverlessworkshops.io/) - In this workshop, you will learn how to start a new Serverless application from scratch using the [Serverless Application Model (SAM)](https://github.com/awslabs/serverless-application-model) and how to fully automate builds and deployments by building a continous delivery pipeline using AWS CodeCommit, AWS CodeBuild and AWS CodePipeline. You will also learn how to test a Serverless application locally using the SAM CLI.