The document summarizes a presentation about analyzing large census databases using statistical software. It discusses the challenges of working with large census datasets containing over 20 million records and hundreds of variables. It describes using the R programming language to perform analyses more efficiently than other statistical packages like SPSS and Stata. Specifically, it discusses optimizing R code, using high-performance computing clusters, and big data packages to handle large databases and complex analyses. The overall conclusion is that analyzing large census data is challenging but can be done through continual learning and improving programming and statistical skills.