Who can help me to relate posterior beliefs characteristics to prior beliefs characteristics?

Using the fact that normal density is self-conjugate, how do the mean and variance of the posterior beliefs are related to the mean and variance of the prior beliefs? I heard that it is explained in DeGroot, M. H. [1970] Optimal Statistical Decisions. McGraw-Hill, New York. But I don't have the book. Please help me.