Dominik Riemer created STREAMPIPES-290:
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Summary: More powerful real-time visualizations for StreamPipes
Key: STREAMPIPES-290
URL: https://issues.apache.org/jira/browse/STREAMPIPES-290
Project: StreamPipes
Issue Type: New Feature
Components: UI
Reporter: Dominik Riemer
*Apache StreamPipes*
Apache StreamPipes (incubating) is a self-service (Industrial) IoT toolbox to
enable non-technical users to connect, analyze and explore IoT data streams.
StreamPipes offers several modules including StreamPipes Connect to easily
connect data from industrial IoT sources, the Pipeline Editor to quickly create
processing pipelines and several visualization modules for live and historic
data exploration. Under the hood, StreamPipes utilizes an event-driven
microservice paradigm of standalone, so-called analytics microservices making
the system easy to extend for individual needs.
*Background*
Currently, the live dashboard (implemented in Angular) offers an initial set of
simple visualizations, such as line charts, gauges, tables and single values.
More advanced visualizations, especially those relevant for condition
monitoring tasks (e.g., monitoring sensor measurements from industrial
machines) is easy. Visualizations can be flexibly created by users and there is
an SDK that allows to express requirements (e.g., based on data type or
semantic type) for visualizations to better guide users through the creation
process.
*Tasks*
# Extend the set of real-time visualizations in StreamPipes, e.g., by
integrating existing visualizations from Apache ECharts.
# Improve the existing dashboard, e.g., by introducing better filtering or
more advanced customization options.
*Relevant Skills*
0. Don't be afraid! We'll guide you through your first steps with StreamPipes.
# Angular
# Basic knowledge of Apache ECharts
*Mentor*
Dominik Riemer, PPMC Apache StreamPipes ([email protected])
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