Hi Xiaoxiang, Basically you can imagine the scenario that there will be3 teams who will be using Kylin's Cube:
a) Data analyst team (DA) who is using PowerBI (via ODBC or mez), superset to access kylin Cube as well. b) Data science team (DS) who is using Pyspark, SparkML currently assessing HDFS and parquet directly as raw file. c) AI team who is using various interfaces like Java, Python, Scala to assess HDFS and parquet directly as raw file. I have two questions: 1) For team a) DA: when using the ODBC or mez connector, if the Cube not ready then I guess the PowerBI is accessing HIVE parquet file, is n't it? 2) For DS/AI team: you see they are accessing the raw hdfs/parquet then how can Hive/Kylin provide more merits to these teams? For this question, I imagine of OLAP speed or computed metrics etc but I am not sure so please advise Thank you very much On Mon, Nov 13, 2023 at 2:40 PM Xiaoxiang Yu <[email protected]> wrote: > Do you have any specific business scenario? Looks like there is > not such real usecase at the moment. > > > > -- > *Best wishes to you ! * > *From ：**Xiaoxiang Yu* > > > At 2023-11-13 11:36:35, "Nam Đỗ Duy via user" <[email protected]> > wrote: > > Dear Sir/Madam > > I am persuading my company to use kylin as olap platform so please kindly > share with me (inbox me if you hesitate to share publicly) your real > use-cases to help me answer our boss’s question: > > 1. Which companies are using kylin now > 2. How do you use kylin’s capabilities in your AI/ML projects > > Thank you very much for your valuable time and support > >
