I²: Interactive Real-Time Visualization for Streaming Data

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I²: Interactive Real-Time Visualization for Streaming Data

Philipp Grulich

Hi,

We would like to present you our work “I²: Interactive Real-Time Visualization for Streaming Data”. This demonstration received the Best Demonstration Award at the 20th International Conference on Extending Database Technology (EDBT) in March 2017.

I² is based on Apache Zeppelin and Apache Flink and enables interactive exploration and visualization of streaming data. It coordinates running cluster applications and corresponding visualizations such that only the currently depicted data points are processed and transferred.

On top of this technical foundation, we present an algorithm for the real-time visualization of time series, which is correct and minimal in terms of transferred data.

In our demonstration, we showcase how cluster programs can adapt to changed visualization properties at runtime to allow interactive data exploration.

You can find the paper and the source code in our Github repository [1]. For an easier start, we provide a docker image with an prebuild distribution of our system [2].

Feel free to try it out!

  • Paper: I²: Interactive Real-Time Visualization for Streaming Data [3]
  • Poster: EDBT 2017 Poster [4]

The demonstration is based on a Zeppelin fork [5], which contains a range of necessary changes.


We want to thank you for your great open-source project, which is a perfect foundation for a range of interesting research topics.

Best,

Jonas Traub, Nikolaas Steenbergen, Philipp Grulich, Tilmann Rabl, Volker Markl


[1] https://github.com/TU-Berlin-DIMA/i2
[2] https://hub.docker.com/r/tuberlindima/i2
[3] http://www.redaktion.tu-berlin.de/fileadmin/fg131/Publikation/Papers/paper-276.pdf
[4] https://github.com/TU-Berlin-DIMA/i2/raw/master/EDBT-2017-poster.pdf
[5] https://github.com/TU-Berlin-DIMA/zeppelin/tree/i2-zeppelin


Philipp Grulich
Research Assistants
DFKI Projektbüro Berlin
Alt-Moabit 91c

D-10559 Berlin

[hidden email]
http://dima.tu-berlin.de / http://dfki.de

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Re: I²: Interactive Real-Time Visualization for Streaming Data

moon
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Congratulations!

I played with docker image and provided notebooks and great to see awesome real time visualizations.

If you have video, that would also help people quickly take a look how this great realtime visualizations.

Congratulations again and thanks for sharing your work in the community.
Please don't hesitate sharing any future work in the Zeppelin community.

Thanks,
moon

On Mon, Apr 3, 2017 at 9:49 PM Philipp Grulich <[hidden email]> wrote:

Hi,

We would like to present you our work “I²: Interactive Real-Time Visualization for Streaming Data”. This demonstration received the Best Demonstration Award at the 20th International Conference on Extending Database Technology (EDBT) in March 2017.

I² is based on Apache Zeppelin and Apache Flink and enables interactive exploration and visualization of streaming data. It coordinates running cluster applications and corresponding visualizations such that only the currently depicted data points are processed and transferred.

On top of this technical foundation, we present an algorithm for the real-time visualization of time series, which is correct and minimal in terms of transferred data.

In our demonstration, we showcase how cluster programs can adapt to changed visualization properties at runtime to allow interactive data exploration.

You can find the paper and the source code in our Github repository [1]. For an easier start, we provide a docker image with an prebuild distribution of our system [2].

Feel free to try it out!

  • Paper: I²: Interactive Real-Time Visualization for Streaming Data [3]
  • Poster: EDBT 2017 Poster [4]

The demonstration is based on a Zeppelin fork [5], which contains a range of necessary changes.


We want to thank you for your great open-source project, which is a perfect foundation for a range of interesting research topics.

Best,

Jonas Traub, Nikolaas Steenbergen, Philipp Grulich, Tilmann Rabl, Volker Markl


[1] https://github.com/TU-Berlin-DIMA/i2
[2] https://hub.docker.com/r/tuberlindima/i2
[3] http://www.redaktion.tu-berlin.de/fileadmin/fg131/Publikation/Papers/paper-276.pdf
[4] https://github.com/TU-Berlin-DIMA/i2/raw/master/EDBT-2017-poster.pdf
[5] https://github.com/TU-Berlin-DIMA/zeppelin/tree/i2-zeppelin


Philipp Grulich
Research Assistants
DFKI Projektbüro Berlin
Alt-Moabit 91c

D-10559 Berlin

[hidden email]
http://dima.tu-berlin.de / http://dfki.de

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