Hello everyone,
We are setting up a cluster for collecting of IoT/sensor data. And I'm not sure what is the best structure for this kind of data. The simplest way would be to use single index for all similar (numeric) data sources and structure data in few fixed fields:
- timestamp
- measure_point_location
- value
- unit_code
- some_meta_data
The other option would be to use field name as measure point location and therefore split data in multiple indexes by area, sensor type or other rule:
- timestamp
- room_01_temerature_01
- room_01_temerature_02
- room_02_temerature_01
- room_02_temerature_02
- room_01_humidity_01
- room_01_humidity_02
- ...
The goal is to create different kinds of visualizations in Kibana. Which option is more suitable for that?
Thanks!
Regards