Hi , We would love this to be follow through, and more we are willing to put some resources to help out and get it done.
The things have currently been working with different levels of success : 1- CrossFilter,js (D3 cross filter) defining the different charts form same data source ingested to Druid after pre-transformation using sparks, POC but not ready to produce 2- We've added new Charts from D3 and currently on MVP, once proven successful we will share with the community 3- Drill Down, we have a suite of an interactive report in another platform which gives us a clear roadmap of hierarchies, groups and Drills down , but it's safe to say that they are mostly time series related, where we receive data in a range of resolutions but the smallest one is every 5 sec, then the user can drill down from year to qtr, month, day, to sec, this, however, we've just started exploring and it really is dependent on cross drilling and rules around it . Our staging setup is Kubernetes, Dockers, Superset image, Druid, Helm. On AWS currently on Batch Ingesting as our first report are received daily batches with 5min resolution, I'll be super happy to share as our data and report are for a completely different industry [ Full content available at: https://github.com/apache/incubator-superset/issues/2890 ] This message was relayed via gitbox.apache.org for [email protected]
