Author
Philip Brown, Senior Application Developer, Predictum Inc. PBZ
Integrating JMP with SAS creates a formidable data management and analytical system. JMP takes the role of the client, providing interactivity and visualization and, as a result, makes advanced statistical methods accessible to analysts of all sorts. The limitation of JMP is that it requires data to be in memory. That limits the size of the data available for analysis and also requires the transfer of data from its sources into RAM; a slow process for large data sets. SAS on the server can manage and quickly manipulate data on a large scale and integrate JMP with other proprietary databases. This presentation will review options in extending the added value of JMP by extending its capabilities with SAS and discuss the optimal distribution of labor between JMP and SAS.
