Cloud testing and authentication model in financial market Big Data analytics

摘要

Much more information itself needs information about information. Since last twenty years, data scientists are working on Big Data and its analytics. We already covered a long distance in all verticals of Big Data but cloud based software testing. Big Data analytics is based on 5 V's and analytical results may sometime generate unwanted data for the financial forecasters. Cloud computing plays a crucial role in the analytical scenario. Cloud computing supports everything as service like IAAS, SAAS, PAAS, TAAS etc. and in this environment, we need testing as well as validation tool in the same environment. Testing as a Service (TaaS) is being offered by many players through cloud. Dearth literature availability and wide application of testing tools in financial market cloud computing Big Data prompted us to work on the area of cloud based automated validation and testing tool model. In this paper, we are trying to address the real challenges of online cloud based automated testing tools not as testing as a service (TaaS) but mandatory tool applicable in the financial market computing and introducing new model. This model will be applicable during testing and validation of the desired data for financial forecasting.