Hi Community, Timeseries data are simply measurements or events that are tracked,monitored, downsampled, and aggregated over time. Basicallytimeseries data analysis helps in analyzing or monitoring theaggregated data over period of time to take better decision forbusiness. So since carbondata supports olap datamap like preaggregate, MV and since time series is of atmost importance, we can supporttimeseries for carbondata over MV datamap model.
Currentlycarbondata supports timeseries on preaggregate datamap, but its analpha feature and there are so many limitations when we compare and analyze the existing timeseries database or projects which supportstime series like apache druid or influxdb. So, in this feature we can support timeseries by avoiding the limitations in the current system. After doing the analysis on the current existing timeseries database like influxdb, and the apache druid, i have prepared a solution/design document. Any inputs, improvements or suggestion are most welcome. I have created jira https://issues.apache.org/jira/browse/CARBONDATA-3525 for this. Later i will create sub jiras for tracking. Regards, Akash R Nilugal
