As data for science is increasingly available via cloud computing resources, challenges arise in keeping up with fast-growing and fast-changing innovations in the world of large data and cloud computing. This article discusses lessons learned in developing a tutorial about how to extract, visualize, and analyze time series of Earth data from satellite and satellite-based datasets in the cloud.