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From Gordon Benjamin <gordon.benjami...@gmail.com>
Subject Re: Use case question
Date Mon, 24 Nov 2014 11:24:09 GMT
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 <akhil@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.benjamin65@gmail.com
> <javascript:_e(%7B%7D,'cvml','gordon.benjamin65@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?
>>
>
>

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