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4.1. Installation
To use Kibana for the visualization, you will need both ElasticSearch and Kibana to be installed and run in the background. Follow these steps:
Prerequisite: Python 3.6 or above.
Note that the commands below are given for Linux but can be adapted for other OS
- Download ElasticSearch for your operating system
- Open a new terminal window (or use screen to keep the process running in the background (Linux))
- Unzip and move to your main ELASTICSEARCH_HOME folder
cd ELASTICSEARCH_HOME
- From your ELASTICSEARCH_HOME, run:
$ bin/elasticsearch
and let it run in the background
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Download Kibana 7.3.2 (same version as ElasticSearch)
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Open a new terminal window (or use screen to keep the process running in the background (Linux))
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Unzip and move to your main
KIBANA_HOME
foldercd KIBANA_HOME
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From your KIBANA_HOME, run:
$ bin/kibana
and let it run in the background -
Install the following Kibana plugin: kbn_network following the README instructions, using Version for Kibana 7.0 to 7.4
That's it, you are good to move on to the next step, connecting Saffron to Kibana
This resource has been funded by Science Foundation Ireland under Grant SFI/12/RC/2289_P2 for the Insight SFI Research Centre for Data Analytics. © 2020 Data Science Institute - National University of Ireland Galway