Fecha de publicación: 11/06/2021 Fuente: Wipo "BigData" ABSTRACTOur Invention point to point regression analysis big data processing using machine learning is a stepwise complex regression analysis-based global big data processing method. The rapid pace of technological advances creates many difficulties for R&D practitioners in analyzing emerging technologies. Patent information analysis is an effective tool in this situation. Conventional patent information analysis has focused on the extraction of vacant, promising, or core technologies and the monitoring of technological trends and also the method includes the following steps:1: collecting data of factory operation parameters.2: numbering the collected operation parameters.The invention is also using some of the collected operation defined parameters as dependent variables (tx, ty, tz), using other operation fixed parameters as independent variables and writing linear equations, wherein the parameters are in a linear relationship. The invention is a method and system for providing big data analytics framework for predictive and qualitative predictive analysis for social application developers data scientists and system unique engineers without having technology specific programming experience. The invented the framework contains adapters for the software engineers to configure the big data hub, wherein these hardware/software engineers can easily share, defined store, process and predict unique functionalities with the set of data scientists and user interface (UI) developers.