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Buddhi,Thank you for tuning in! I'll do my best to answer your questions here:
1. Data sets don't have native incremental load as far as I can tell. May be possible to accomplish something with the API but I haven't had time to test it yet.2. It appears that bursting works just fine via the new interface provided you've configured the report to be a burst report3. There's no option to dynamically change the file name from the scheduling interface. The burst process can accomplish this though.4. I can't actually test this so what I can tell you is that my understanding is that you are correct, access to Jupyter for cloud customers is via Watson Studio.Cheers!Ryan
Re "Data sets don't have native incremental load as far as I can tell...."
Is the question, can you append vs straight replace?