Thanks. Yes d3 ones. Just to clarify--we could take our current system, which is incrementally adding partitions and overlay an Apache streaming layer to ingest these partitions? Then nightly, we could coalesce these partitions for example? I presume that while we are carrying out a coalesce, the end user would not lose access to the underlying data? Let me know of I'm off the mark here.
On Monday, November 24, 2014, Akhil Das <ak...@sigmoidanalytics.com> wrote: > Streaming would be easy to implement, all you have to do is to create the > stream, do some transformation (depends on your usecase) and finally write > it to your dashboards backend. What kind of dashboards are you building? > For d3.js based ones, you can have websocket and write the stream output to > the socket, for qlikView/tableau based ones you can push the stream to > database. > > Thanks > Best Regards > > On Mon, Nov 24, 2014 at 4:34 PM, Gordon Benjamin < > gordon.benjami...@gmail.com > <javascript:_e(%7B%7D,'cvml','gordon.benjami...@gmail.com');>> wrote: > >> hi, >> >> We are building an analytics dashboard. Data will be updated every 5 >> minutes for now and eventually every 1 minute, maybe more frequent. The >> amount of data coming is not huge, per customer maybe 30 records per minute >> although we could have 500 customers. Is streaming correct for this >> I nstead of reading from multiple partitions for the incremental data? >> > >
