How Three Enterprises Turned Their Big Data into Their Biggest Asset

Organizations worldwide are facing the challenge of effectively analyzing their exponentially growing data stores. Most data warehouses were designed before the big data explosion, and struggle to support modern workloads. To make due, many companies are cutting down on their data pipelines, severely limiting the productivity of data professionals.

This session will explore the case studies of three organizations who used the power of GPU to broaden their queries, analyze significantly more data, and extract previously unobtainable insights.