Is Bark the Right Choice for Time Series?

Bark is naturally a good choice to use, because it has such a good reputation and a lot of reasons to look at it for big data solutions. It's not obvious to me that it's necessarily the right choice for time series, because it's not really baked in, right? They've move more and more towards like a sequel style and data sets. Are there any technical challenges to implementing time series vi a spark yet? If you consider one single time sers as fine, but if you think about what we are doing. We are streaming data. Data is like time series, or coming out like water, or like river coming out thow. You really need a non stop