This chapter provides a comprehensive overview of handling temporal databases using the PAMI package. Temporal databases, characterized by their time-ordered transactions, are essential for capturing and analyzing time-based data across domains such as sensor networks, satellite monitoring, and social media. We introduce the structure and representation of temporal databases, distinguishing between nonuniform and uniform types. The chapter covers practical aspects of working with these databases, including creating synthetic temporal databases for testing and converting dataframes into temporal databases. Additionally, we explore how to derive statistical details about temporal databases to understand their properties and facilitate data analysis. The techniques and tools discussed provide a solid foundation for managing, analyzing, and extracting insights from time-ordered transactional data.