Streaming OLAP provides Near-Realtime analysis where data delay can be as short as a few minutes.
Traditional daily build allows user to analyze yesterday's data. If increase the frequency to hourly, then user can analyze last hour's data. Further down the line, how about incremental build every 5 minutes from a streaming source? Then user can analyze data 5 minutes ago. That's Streaming OLAP! On Mon, Sep 14, 2015 at 12:43 AM, Henry Saputra <[email protected]> wrote: > Hi Luke, > > Could you clarify again what is the streaming OLAP means here? > > By definition OLAP work with historical data. > > Maybe I missed it but was there any discussions or proposed design for it? > > Thanks, > > - Henry > > On Monday, August 3, 2015, Luke Han <[email protected]> wrote: > > > Hi Siddharth, > > Kylin's next majority release (0.8.x) will support Streaming OLAP > which > > will coming in Q4 since it still under development now, as Hongbin > > mentioned above. > > Could you please drop me a mail about your case? I would like to > > better understand your scenario to well manage coming features? > > > > Thanks. > > > > > > > > > > Best Regards! > > --------------------- > > > > Luke Han > > > > On Wed, Jul 29, 2015 at 2:08 PM, hongbin ma <[email protected] > > <javascript:;>> wrote: > > > > > For current 0.7 releases, you cannot. > > > > > > Real time data processing and querying will be added in 0.8 release. It > > is > > > still under development and testing. We have achieved good progress on > > it, > > > please wait for announcements. > > > > > > On Wed, Jul 29, 2015 at 2:02 PM, Siddharth Ubale < > > > [email protected] <javascript:;>> wrote: > > > > > > > Hi , > > > > > > > > I would like to ask whether Kylin can be used as a real time querying > > > > system? > > > > The process of building a cube , makes it look like a batch process > > after > > > > which the queries are with low latency.. however can > > > > We get a real time idea of what the OLAP system's state is at the > query > > > > instance? > > > > > > > > Thanks, > > > > Siddharth > > > > > > > > > > > > > > > > -- > > > Regards, > > > > > > *Bin Mahone | 马洪宾* > > > Apache Kylin: http://kylin.io > > > Github: https://github.com/binmahone > > > > > >
