The document discusses using Hadoop and Hive at Zing for log collecting, analyzing, and reporting. It provides an overview of Hadoop and Hive and how they are used at Zing to store and analyze large amounts of log and user data in a scalable, fault-tolerant manner. A case study is presented that describes how Zing evolved its log analysis system from using MySQL to using Scribe, Hadoop, and Hive to more efficiently collect, transform, analyze and report on log data.