Hi All, The cube we are trying to build include several ultra high-cardinality columns. They are over 50 million cardinality. >From this link <http://www.slideshare.net/YangLi43/design-cube-in-apache-kylin?next_slideshow=5>, it says: Avoid UHC as much as possible. - if it's used as indicator, then put the indicator in cube. - try categorize values or derive features from the UHC rather than putting the original value in cube.
I'm sorry that I'm a newbie to the Kylin and Cube things. Can anyone give a little bit more detailed explanation for the above two suggestions? Best regards, Zhong
