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.