This document summarizes a presentation about Penton's use of Hadoop and related technologies to improve their data processing capabilities. It describes Penton's data challenges with siloed and slow ETL processes. A proof of concept used HBase for ingesting and manipulating CSV files, Drools for data scrubbing rules, and MapReduce jobs for exports. This new architecture improved performance for mapping and uploads. Lessons included HBase tuning and challenges translating SQL queries to scans. The new system provided better scalability and relieved load from their RDBMS.