Optimization Design of Computer Information Management Software under the background of Big Data

With the increasing growth and progress of the big data science, information management software has been widely used, but also highlights the security risks. At present, it is particularly easy to have information theft, information leakage and many other situations. This will have a serious negative impact on the overall system application efficiency and application effect. In the set preprocessing, this paper uses the filling method for the missing values in the collected data, and establishes an effective evaluation mechanism for the missing value filling scheme. By comparing various filling schemes, this paper finally chooses the fitting method based on Gaussian distribution to fill the missing values. Experimental data reflect the usefulness of the proposed method.