In this episode my friend Vikas Popuri and I chat about Google’s paper comparing ML models to traditional DB indexes. Background: Google used learned indexes , machine learning models, to access data and compared these to B-Tree, Hash, and Bloom Filter indices Trained a model using multiple stages where the earlier stages could approximate a location […]