This document summarizes a paper presentation on the challenges of big data mining and processing frameworks. It discusses big data characteristics like volume, variety and velocity. It outlines data challenges including volume, variety, velocity, variability, value, veracity and visualization. Process challenges involving data acquisition, cleaning, analysis, integration and querying are also summarized. Management challenges involving privacy, security, data sharing and ownership are covered. Finally, a big data mining processing framework involving the HACE theorem is presented.