In the manufacturing industry, grappling with big data poses multifaceted challenges. Enormous volumes of data generated across production processes can overwhelm traditional analytics tools, impeding real-time decision-making. Integrating data from diverse sources like sensors, IoT devices, and supply chains is complex, often leading to fragmented insights. Ensuring data security and privacy amidst interconnected systems presents a considerable challenge. Moreover, extracting actionable insights from complex datasets requires specialized expertise, putting strain on the industry’s talent pool. Addressing these big data challenges is pivotal for optimizing operations, enhancing quality, and driving innovation in manufacturing.