Solar flares, coronal mass ejections, prominences and sunspots are all driven by complex magnetic activity within the Sun's interior and at its surface, illustrated by the ultraviolet image on the right. SAN ANTONIO -- July 6, 2022 --Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a Southwest Research Institute team has developed a machine learning tool to efficiently label large, complex datasets to allow deep learning models to sift through and identify potentially hazardous solar events. The new labeling tool can be applied or adapted to address other challenges involving vast datasets. As space instrument packages collect increasingly complex data in ever-increasing volumes, it is becoming more challenging for scientists to process and analyze relevant trends.