SK Telecom developed a Hadoop data warehouse (DW) solution to address the high costs and limitations of traditional DW systems for handling big data. The Hadoop DW provides a scalable architecture using Hadoop, Tajo and Spark to cost-effectively store and analyze over 30PB of data across 1000+ nodes. It offers SQL analytics through Tajo for faster querying and easier migration from RDBMS systems. The Hadoop DW has helped SK Telecom and other customers such as semiconductor manufacturers to more affordably store and process massive volumes of both structured and unstructured data for advanced analytics.