Where exactly bigdata platforms fit in to a data science/ machine learning projects ?
Say I have a large dataset for a binary classification problem - cats and dogs.
Now I need to create a model for real time classification
Here is my question.
1 Since dataset is huge I can make use any distributed platform for faster computation and model creation right?
2 Once the model is ready, then there is no need of these distributed platform right ? or are they needed for feature extractions ?