Huge information-based acquisition and storage system (ASS) assumes a significant part in the plan of mechanical information stage. Numerous large information systems have been incorporated pressure and serialization strategy. These techniques can't address the issues of modern creation data the board for requiring tedious and mass stockpiling. In light of the current large information structures, we propose an upgraded modern huge information stage so as to decrease the information handling time while requiring less information stockpiling space. In particular, this paper centers around assessing the effect of numerous pressure and serialization strategies on enormous information stage execution and attempts to pick ideal pressure and serialization techniques for the modern information stage.

Contrasted with the techniques incorporated in Hadoop, the exploratory results demonstrated the information pressure season of the stage has been diminished by 73.9% with an under 96% the size of information packed, besides, the information serialization time has been decreased by 80.8%. With the expanding measure of information, it takes less effort to contrast and benchmark strategies.