In analyzing big data for finite population inference, it is critical to adjust for the selection bias in the big data. Using an independent probability sampling, the selection bias of big data can be removed safely. Such techniques can be called data integration for big data analysis. In this talk, several methods of data integration are presented in the context of big data analysis. Results from simulation studies are also presented.