Extraordinary amounts of data are being produced in many branches of science. Proven statistical methods are no longer applicable with extraordinary large datasets due to computational limitations. A critical step in big data analysis is data reduction. This work focus onaninformation-based optimal subdata selection method for big data partially linear regression.