One of the most fun outcomes that you can achieve with your data is to discover new and interesting things. Sometimes, the most interesting thing is the detection of a novel, unexpected, surprising object, event, or behavior – i.e., the outlier, the thing that falls outside the bounds of your original expectations,
Data-driven workflows are the life and existence of big data professionals everywhere: data scientists, data analysts, and data engineers. We perform all types of data functions in these workflow processes: archive, discover, access, visualize, mine, manipulate, fuse, integrate, transform, feed models, learn models, validate models, deploy models, etc. It is
Follow @DataconomyMedia Recommender systems are among the most fun and profitable applications of data science in the big data world. Training data (corresponding to the historical search, browse, purchase, and customer feedback patterns of your customers) can be converted into golden opportunities for ROI (i.e., Return On Innovation and Investment).
The on-going Big Data media hype stirs up a lot of passionate voices. There are naysayers (“it is nothing new“), doomsayers (“it will disrupt everything”), and soothsayers (e.g., Predictive Analytics experts). The naysayers are most bothersome, in my humble opinion. (Note: I amnot talking about skeptics, whom we definitely and desperately need during any period of maximized
With all of the discussion about Big Data these days, there is frequest reference to the 3 V’s that represent the top big data challenges: Volume, Velocity, and Variety. These 3 V’s generally refer to the size of the dataset (Volume), the rate at which data is flowing into (or out
When we devote so much time and energy talking about Big Data, are we neglecting the important things that you can do with Small Data? Maybe, but… probably not. Looking beyond the Big Data hype helps us to capture real value from advanced analytics on data, big and small. The drumbeat