This paper discusses challenges in diagnosing errors when deploying Hadoop ecosystems. It provides 15 examples of specific errors that can occur with Hbase/Hadoop deployment on Amazon EC2, along with potential root causes. The paper also classifies errors as operational, configuration, software, or resource-related. It identifies inconsistencies across component logs, high signal-to-noise ratios, and uncertainty in correlating events as difficulties for error diagnosis. The paper contributes examples to a repository for mapping deployment symptoms to fault trees to determine root causes.