BChain-Driven Scalable Approach to Big Data Verification of Db. Applications Processing

In current world data is the key intergradient among all the organizations including IT sectors, academic fields, medical records and list goes on. Every sector deals with one common problem that is the management of such huge data generation that is commonly called as big data [1-2]. With the time data becomes historical as every day, every hour, every minute new data is generated. The main issues are arises when handling of such huge amount of data become an issue, because such data can neither be deleted as it might be useful for the organization nor be kept because it causes no memory space for newly generated data [4]. Hence to solve the issues one trending technology can be helpful that is block chain. Block chain [10-11] can be one of the promising technology which dealt easily with the problem occurred to manage big data,  2 Q’s can be take care while combining these two terms together that is quality and quantity [15]. Quality in terms of efficient management of data so that without degrading the quality of data it can easily be managed without causing any issues with the newly generated data. Quantity in terms of as the name defines itself that is the generation of big data. Every day several organizations produce data in terabytes and zeta bytes. The reason behind using these two technologies together is the ones disadvantage becomes another’s advantage. First one is security, such huge data generation can cause security loops. Maintain security of such big data is really a hazardous task and block chain dealt with security issues [31] quite well. The most important positive feature of block chain is decentralization [17] that means data does not belong to one single person; hence chances of data breaches are going downwards. Second one is flexibility, as big data contains every type of data like structured, unstructured, and semi-structured that include image files, video files, audio files etc. To work upon on various kinds of data at same time and same place again is not at all feasible. Here comes the working of block chain, as there is no limitation on block chain. Block chain [25] can easily worked upon variety of data. As Big Data through block chain analysis is still a relatively young field in the collection of massive datasets recognition and gain on discoveries of certain patterns in the data. Since the certain patterns in the data are tremendously big and difficult data, it cannot be developed through the traditional data processing systems. To facilitate analyze such ever-growing amount of data to argues that block chain analysis should be pleasured as a new type of application for Big Data platforms in particular Map/Reduce,[7-8] to extract and analyze information from the block chain. Since all the information will be stored in the Block chain it will be convenient to access these details. Because critical operational data source of the design of the Block chain technology, users can view historical transactions effortlessly and need to ingest and analyze as part of their analytics.