What is the role of Hadoop in big data processing? In the digital age, data is produced at an unprecedented level from various sources, including social media platforms and e-commerce sites, mobile apps, IoT devices, enterprise systems, etc. Big data is a term used to describe the sheer volume, velocity and variety of data. Traditional data processing methods are not sufficient. To manage and analyze the massive flow of information, organizations need cost-effective, reliable and scalable solutions. Hadoop is a key technology that can be used to process big data. https://www.sevenmentor.com/data-science-course-in-pune.php Hadoop, an open-source framework created by the Apache Software Foundation, allows for distributed storage and parallel computing of large datasets on clusters of commodity hardware. Hadoop reduces infrastructure costs by allowing organizations to use low-cost machines that are linked together instead of expensive servers. The architecture of Hadoop is designed to be horizontally scalable, which means that additional nodes can easily be added to the cluster to accommodate increasing data without affecting system performance. Hadoop is a great solution for companies dealing with increasing volumes of unstructured and structured data.