From 7ceecafd3cf1674d0e270982a0bb622ee648999c Mon Sep 17 00:00:00 2001 From: Thomas Risberg Date: Wed, 16 Dec 2015 16:15:21 -0500 Subject: [PATCH] Fix typo --- streaming/http-to-mysql/README.adoc | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/streaming/http-to-mysql/README.adoc b/streaming/http-to-mysql/README.adoc index 32bc8d6..9fd0390 100644 --- a/streaming/http-to-mysql/README.adoc +++ b/streaming/http-to-mysql/README.adoc @@ -3,7 +3,7 @@ In this demonstration, you will learn how to orchestrate a data pipeline using http://cloud.spring.io/spring-cloud-dataflow/[Spring Cloud Data Flow] to consume data from an `http` endpoint and write to MySQL database through `jdbc` sink. -We will begin by discussing the steps to prep, configure and operationalize Spring Cloud Data Flow's `admin` Spring Boot application. We will deploy `admin` using https://github.com/spring-cloud/spring-cloud-dataflow/tree/master/spring-cloud-dataflow-admin-local[Local] and as well as https://github.com/spring-cloud/spring-cloud-dataflow-admin-cloudfoundry[Cloud Foundry] SPIs (Service Provider Interface) to demonstrate how Spring Cloud Data Flow takes advantage of _dev-sandbox_ and _cloud-native_ platform capabilities respectively. +We will begin by discussing the steps to prep, configure and operationalize Spring Cloud Data Flow's `admin` Spring Boot application. We will deploy `admin` using https://github.com/spring-cloud/spring-cloud-dataflow/tree/master/spring-cloud-dataflow-admin-local[Local] as well as https://github.com/spring-cloud/spring-cloud-dataflow-admin-cloudfoundry[Cloud Foundry] SPIs (Service Provider Interface) to demonstrate how Spring Cloud Data Flow takes advantage of _dev-sandbox_ and _cloud-native_ platform capabilities respectively. == Using Local SPI