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First of all, let me express my sincere gratitude for your truly tremendous work on Orange. It's a true state-of-the-art piece of software that excels in combining design & function like no other and achieves to make data science enjoyable for beginners and experts alike! Also, a huge kudos to your video team (Noah, Blaž, Lara, & everyone behind) with their structured and well presented walk-throughs that are essential to the overall platform experience!
Orange should have a higher adaption by professionals as well, and one app feature which could help with this is if Orange could work better with big data. Dask seems like a good approach for local processing, yet for some really big datasets where professionals would need high response times, I was wondering if you considered adding an external Computation API Backend?
This would make big data science much more accessible overall as it would allow anyone - no matter their actual hardware - to do big data analysis with external GPUs (ex: Run Pod service).
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First of all, let me express my sincere gratitude for your truly tremendous work on Orange. It's a true state-of-the-art piece of software that excels in combining design & function like no other and achieves to make data science enjoyable for beginners and experts alike! Also, a huge kudos to your video team (Noah, Blaž, Lara, & everyone behind) with their structured and well presented walk-throughs that are essential to the overall platform experience!
Orange should have a higher adaption by professionals as well, and one app feature which could help with this is if Orange could work better with big data.
Dask
seems like a good approach for local processing, yet for some really big datasets where professionals would need high response times, I was wondering if you considered adding an external Computation API Backend?This would make big data science much more accessible overall as it would allow anyone - no matter their actual hardware - to do big data analysis with external GPUs (ex: Run Pod service).
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