> +1
> -Regards
> Kumar Vishal
>
> On Mon, Oct 21, 2019 at 5:46 PM Akash Nilugal <
[hidden email]>
> wrote:
>
> > Hi All,
> >
> > Based on further analysis with druid and influxdb, current design fails
> to
> > cover the late data arrived to load. So i have updated the design
> document
> > based on that to support late data and attached in jira. Please help to
> > review it and suggestions are welcomed.
> >
> > Regards,
> > Akash
> >
> > On 2019/09/23 13:42:48, Akash Nilugal <
[hidden email]> wrote:
> > > 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
> > >
> >
>
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