The manufacturing industry is capitalizing on the data fabric applications to improve in strategic and real-time decision-making. The manufacturing industry works on thin margins; the operating margin reflected by this industry shows huge deviation on the profits and losses made by the organizations existing in this industry and is dynamic in nature. Therefore, the manufacturing industry has to continuously adapt to and change itself according to the unpredictable and disruptive innovations occurring in the market. Manufacturing industries handle multiple sets of data that need to be continuously captured and analyzed to streamline business applications and optimize business resources. The industry handles data from multiple sources such as in-factory data, along with analog data, images, raw sensor data, and information churned out from applications inside the factory and other sources, which include enterprise resource planning systems, manufacturing execution systems, time and attendance logs, supplier information, and various process automation and control systems. The data fabric helps them integrate, store, and analyze their data, which they can use to control their manufacturing systems and increase productivity.