The first real anonymization algorithms were developed in the mid-1990s. These methods worked very well over the next ten to fifteen years, until the beginning of a new era, that of big data. Everybody generates data from which they can be easily re-identified. The era of big data leaves no room for anonymization. The offered solution reverses the problem: instead of sharing an anonymized database, data will be stored on a secure infrastructure with a controlled access. Those who wish to use these data cannot access it directly. Instead, they will download an algorithm, which we will check and run before authorizing it to search the database for the pieces of required data. This secure infrastructure will allow researchers, statistical institutes or companies to use the potential of big data while offering very strong guarantees in terms of protection of user privacy.