Massive collection of individuals’ information in big data results in leakage of sensitive data. Without degrading privacy, include data protection techniques as core elements of big data analytics must be substantiated. Some models of privacy incorporating the privacy requirements in big data processing must be described. Techniques such as anonymization, encryption, privacy-preserving computations, access control schemes, transparency and accountability must be used to implement in big data environment by estimation. NO program implementation is expected as part of the project. The whole article is about theoretical frameworks and analysis of the same is required.