Investment management firms seek alternative datasets, such as consumer transactions, logistics information, and employment trends, to improve trading strategies with an informational edge. This opens up new potential use cases that could allow investment management firms to analyze digital residue to value assets more accurately, on a near real-time basis, to visualize anomalies that may represent hidden portfolio risk, and to enhance investment analysis and capital market research. Yet the scale of these alternate data streams, often measured in billions of rows, has traditionally been too time-consuming or costly to examine.