[hotfix] update pipeline element section
* [About Apache StreamPipes](#about-streampipes)
* [Use Cases](#use-cases)
* [Installation](#installation)
- * [Pipeline Elements](#pipeline-elements)
* [Building StreamPipes](#building-streampipes)
+ * [Pipeline Elements](#pipeline-elements)
* [Extending StreamPipes](#extending-streampipes)
* [Bugs and Feature Requests](#bugs-and-feature-requests)
* [Get help](#get-help)
@@ -97,11 +97,6 @@ Please follow the instructions provided in the corresponding `README.md` to get
For a more in-depth manual, read the [installation guide](https://streampipes.apache.org/docs/docs/user-guide-installation/).
-## Extensions: Connect Adapters and Pipeline Elements
-
-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
To properly build the StreamPipes core, the following tools should be installed:
@@ -133,6 +128,13 @@ To start StreamPipes, run ``docker-compose up -d`` from the root directory.
You can also use the installer or CLI as described in the ``Installation`` section.
+## Pipeline Elements
+StreamPipes includes a repository of extensions for
+* **Connect adapters** for a variety of IoT data sources as well as
+* **Data Processors** and **Data Sinks** 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).
+
## Extending StreamPipes
You can easily add your own data streams, processors or sinks. A [Java-based SDK](https://streampipes.apache.org/docs/docs/dev-guide-tutorial-processors) and several [run-time wrappers](https://streampipes.apache.org/docs/docs/dev-guide-architecture) for popular streaming frameworks such as Apache Flink, Apache Spark and Apache
