In Privacy Preserving Data Mining, Preserving the Privacy of an Individual Has Been a Prime Research Issue. So As to Protect the Privacy, Different Anonymization Based Approaches Were Proposed In the Writing. the K-Obscurity Model Is One of the Basic Models Utilized For the Privacy Protection. Be That As It May, It Can't Give Assurance Against the Trait Divulgence. Broadening the Possibility of K-Obscurity, Various Anonymization Based Clustering Approaches Have Been Proposed In. It Incorporates Byun Et Al. Eager K-Part Clustering Calculation, Loukides Et Al. Clustering Calculation, Chiu Et Al. Weighted Feature C-Implies Clustering Calculation, Lin Et Al. One Passes K-Implies Clustering Calculation and Kabir Et Al. Orderly Clustering Calculated. In This Paper We Will Discuss About the Work Done In the Field of Privacy Preserving In Big Data.