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Posted to commits@streampipes.apache.org by wi...@apache.org on 2020/09/01 07:39:49 UTC

[incubator-streampipes] branch dev updated: [hotfix] some minor edits including naming connect adapters as part of extensions

This is an automated email from the ASF dual-hosted git repository.

wiener pushed a commit to branch dev
in repository https://gitbox.apache.org/repos/asf/incubator-streampipes.git


The following commit(s) were added to refs/heads/dev by this push:
     new 6823144  [hotfix] some minor edits including naming connect adapters as part of extensions
6823144 is described below

commit 68231440c8f253704ee337ff83b44a12e0c30af8
Author: Patrick Wiener <wi...@fzi.de>
AuthorDate: Tue Sep 1 09:39:33 2020 +0200

    [hotfix] some minor edits including naming connect adapters as part of extensions
---
 README.md | 14 ++++++++------
 1 file changed, 8 insertions(+), 6 deletions(-)

diff --git a/README.md b/README.md
index fd6ec4b..978d768 100644
--- a/README.md
+++ b/README.md
@@ -57,14 +57,16 @@
 
 ## About Apache StreamPipes
 
-Apache StreamPipes (incubating) enables flexible modeling of stream processing pipelines by providing a graphical
- modeling editor on top of existing stream processing frameworks.
+Apache StreamPipes (incubating) enables flexible modeling of stream processing pipelines by providing a graphical 
+modeling editor on top of existing stream processing frameworks.
 
 It empowers non-technical users to quickly define and execute processing pipelines based on an easily extensible 
-toolbox of data sources, data processors and data sinks. StreamPipes has an exchangeable runtime execution layer and executes pipelines using one of the provided wrappers, e.g., for Apache Flink or Apache Kafka Streams.
+toolbox of data sources, data processors and data sinks. StreamPipes has an exchangeable runtime execution layer and 
+executes pipelines using one of the provided wrappers, e.g., standalone or distributed in Apache Flink.
 
 Pipeline elements in StreamPipes can be installed at runtime - the built-in SDK allows to easily implement new 
-pipeline elements according to your needs. Pipeline elements are standalone microservices that can run anywhere - centrally on your server, in a large-scale cluster or close at the edge.
+pipeline elements according to your needs. Pipeline elements are standalone microservices that can run anywhere - 
+centrally on your server, in a large-scale cluster or close at the edge.
 
 ## Use Cases
 
@@ -95,9 +97,9 @@ Please follow the instructions provided in the corresponding `README.md` to get
 
 For a more in-depth manual, read the installation guide at [https://streampipes.apache.org/docs/docs/user-guide-installation/](https://streampipes.apache.org/docs/docs/user-guide-installation/)!
 
-## Pipeline Elements
+## Extensions: Connect Adapters and Pipeline Elements
 
-StreamPipes includes a repository of ready-to-use pipeline elements. A description of the standard elements can be 
+StreamPipes includes a repository of StreamPipes Connect adapters for a variety of IoT data sources as well as ready-to-use pipeline elements. A description of the standard elements can be 
 found in the Github repository [streampipes-extensions](https://www.github.com/apache/incubator-streampipes-extensions).
 
 ## Building StreamPipes