We have figured out how to write Big Data to our PostgreSQL database. We would like to run this (normalized) data into the on-board Neural Network in Orange. Our lead programmer said he thought Orange may very well choke on this large amount of data if we feed it directly into the Orange Neural Net from Big PostgreSQL Data. Does any one here have any experience with this problem? Should we maybe write a widget that caches the data and feeds it into the neural network in discrete chunks? Has anyone here attempted to feed gigabytes of data into the Orange Neural Net? Is TensorFlow a better solution?
Yes, Orange does not handle very large data sets very well. In fact, if you try to load in something like the file size that you are talking about (gigabytes of data) it will crash. When ever you want to create a large scale neural network, you will need to use packages like Tensorflow and Keras. You can not do this in Orange.