This document discusses Robinhood's use of Alluxio to improve the performance of their data analytics workflows. It describes Robinhood's data lake architecture and daily traffic patterns, including ad-hoc visualizations queries, data analysis jobs, and report generations. The document notes limitations with their previous approach of reading directly from S3, including slow and unstable reads. It then outlines how Alluxio helps by caching frequently used data to improve read speeds by 30-50% and reduce total data scanned. Technical challenges of reading cold data and handling large schemas and tables are also mentioned. Overall, Alluxio provided a 30% performance improvement for their data-intensive queries.