• A. Ghouse Mohiddin
• S. Ramakrishna

As digital data is growing tremendously, cloud storage services are gaining popularity since they promise to provide convenient and data storage services that can be accessed anytime, from anywhere. These huge size of data require some practical platforms for the storage, processing and availability and cloud technology over's all the potentials to full- Although data dynamic deduplication removes data redundancy and data replication by storing only a single copy of previously duplicated data [2], Data deduplication framework, with the goal of preserving to preserve the privacy of data in the cloud while ensuring that the perform data deduplication without compromising the data privacy and security. Data Analyst can be use to analyze, profile, and account data in an enterprise. We can perform column and rule profiling, score carding, bad record and duplicate record management. Reference data can include accurate and standardization values that can be used by analysts and developers in cleansing and validation rules. Standardize once the problems with the data have been identified, standardization process to cleanse, standardize, enrich and validate customer data. An identify duplicate records in Customer data using a variety of matching techniques algorithms (Fuzzy logic). An automatically or manually consolidate the matched records. [7]. Matching will identify related or duplicate records within a dataset or across two datasets. Matching scores records between 0 and 1 on the strength of the match between them, with a score of 1 indicating a perfect match between records. The Fuzzy algorithms is to provide values in selected input columns and calculates match scores representing the degrees of similarity between the pairs of values [10,11].

Data Profiling, Data Standardization, Tokenization, Math and Merge, Match Ruleset and Match Rule.

"A STRATEGIC ANALYSIS FOR THE DYNAMIC DE-DUPLICATION OF CUSTOMER DATA USING FUZZY MATCH OR SEARCH STRATEGIES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.74-77, May-2019, Available :http://www.jetir.org/papers/JETIRBR06016.pdf

"A STRATEGIC ANALYSIS FOR THE DYNAMIC DE-DUPLICATION OF CUSTOMER DATA USING FUZZY MATCH OR SEARCH STRATEGIES ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp74-77, May-2019, Available at : http://www.jetir.org/papers/JETIRBR06016.pdf