August 2017
Beginner to intermediate
320 pages
8h 6m
English
Over the last decade or so, it has become technically and economically feasible to capture and store huge quantities of data. The numbers are hard to absorb for all but the geekiest, as data volumes have grown from megabytes to gigabytes (billions of bytes) to terabytes (trillions of bytes) to petabytes (quadrillions of bytes). While low-end personal computers and servers lack the power and capacity to handle the volumes of data required for analytical applications, high-end 64-bit processors, specialty “data appliances,” and cloud-based processing options can quickly churn through virtually unfathomable amounts of data. ...