SpringCloud/spring-cloud-dataflow-samples
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Update samples to adapt to M3 changes

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Correct link references
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Sabby Anandan
2016-05-02 09:57:00 -07:00
parent d7e484aad2
commit 65f8905b3b
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analytics/twitter-analytics/README.adoc
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@@ -3,9 +3,9 @@
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 _TwitterStream_ and compute simple analytics over data-in-transit using _Field-Value-Counter_.
We will begin by discussing the steps to prep, configure and operationalize Spring Cloud Data Flow's `local-server`, a Spring Boot application.
We will begin by discussing the steps to prep, configure and operationalize Spring Cloud Data Flow's `Local` server, a Spring Boot application.
== Using Local SPI
== Using Local Server
=== Prerequisites
@@ -13,6 +13,7 @@ In order to get started, make sure that you have the following components:
* Local build of link:https://github.com/spring-cloud/spring-cloud-dataflow[Spring Cloud Data Flow]
* Running instance of link:http://redis.io/[Redis]
* Running instance of link:http://kafka.apache.org/downloads.html[Kafka]
* Twitter credentials from link:https://apps.twitter.com/[Twitter Developers] site
=== Running the Sample Locally
@@ -155,6 +156,6 @@ image::images/twitter_analytics.png[Twitter Analytics Visualization]
In this sample, you have learned:
* How to use Spring Cloud Data Flow in `local-server` mode
* How to use Spring Cloud Data Flow's `Local` server
* How to use Spring Cloud Data Flow's `shell`
* How to create streaming data pipeline to compute simple analytics using `Twitter Stream` and `Field Value Counter` data microservices