Analysis on data deduplication techniques of storage of big data in cloud

As nowadays, many devices are connected to the internet (Thing continuum), and many businesses deal with a huge amount of data, digital data growth is exponentially
increased. Cloud computing is the optimal technology that
provides many computing resources, especially storage for Big data. Cloud offers the best storage management to back up the big data from IoT, business, enterprise, or government. All data owners want the protection of their own data, so they encrypt the data before outsourcing data in clouds. As many users avail cloud storage, different users may outsource the same data with different encryption techniques, and it results in data duplication or data redundancy. Although cloud computing offers a huge amount of storage space, data duplication decreases the efficiency
and performance of cloud storage, and also it results in poor data management and the requirement of high bandwidth. The deduplication technique is used to manage data uplication in clouds. Although there are some deduplication approaches used to avoid data redundancy, still they have lack efficiency. The main aim of this paper is to obtain sufficient knowledge and a good idea about deduplication techniques by surveying existing approaches and this work may help the researcher and practitioner for their future research in developing efficient cloud storage management techniques. Keywords— Big data, Cloud computing, Cloud storage