NoSQL Cloud based Bigdata technologies for efficient performance evaluation in the modern era

Modern society's most recent technology breakthroughs have given rise to innovations that, when handled effectively, can result in value-added outcomes or, when handled incorrectly, can cause disruptions. One such technology is the plethora of NoSQL cloud databases that have developed. There isn't a single store that combines all of these properties, despite the fact that these provide a wide range of features like consistency, availability, fault-tolerance, scalability, and security. This aspect gains wide support if integrated with various learning platforms to yield an added outcome. Regardless of the dataset, applying pre-processing techniques and identifying data splits is a necessary step to do in order to infer better outcomes. Towards this end, an efficient NoSQL cloud datstore based analysis is presented to showcase the significance of NoSQL over traditional relational databases to overcome bigdata analysis based difficulties. Based on the type of data to be examined and the evaluation of the results, an appropriate cloud datastore is chosen.