Breast cancer is one of the largest second causes of dead among women. So, computer aided diagnosis system will be working on mammograms. In early stage breast cancer can be identified by through CAD algorithms.But, this algorithms accuracy of existing system unsatisfied result. Later, they are using to detect this cancer like microscopic images, mammography to ultrasonography and MRI. This type of prediction gave only false prediction then it took more time and cost effects. In proposed system of in this project, it will be working on big data and machine learning based on nine features in breast cancer data set from UCI Irvine Machine Learning Repository database. Big data is used to pre-processing from various fields from datasets and used to accurate detection. Machine Learning can be used to implementing the supervised algorithm’s to detect cancer type based on benign and malignant breast masses. These algorithms will give us additional accurate results for detecting the breast cancer.