A Big Data Analytics Architecture Framework for the Production and International Trade of Oilseeds and Textiles in Sub-Saharan Africa (SSA)

Among the most revolutionary technologies are big data analytics, artificial intelligence (AI) and robotics, machine learning (ML), cybersecurity, blockchain technology, and cloud computing. The project was focused on how to create a Big Data Analytics Architecture Framework to increase the production capability and global trade for Sub-Saharan Africa’s oilseeds and textile industries (SSA). The infrastructure, e-commerce, and disruptive technologies in the oilseeds and textile industries, as well as global e-commerce, all demand large investments. The pragmatic paradigm served as the foundation for the research approach. This study employed a review of the literature, document analysis, and focus groups. For the oilseeds and textile sectors in SSA, a Big Data analytics architectural framework was created. The Hadoop platform was created as a framework for big data analytics. The open-source Hadoop platform offers the analytical tools and computing capacity needed to handle such massive data volumes. It supports E-commerce and is based on the Hadoop platform, which offers the analytical tools and computing power needed to handle such massive data volumes. The low rate of return on investments made in breeding, seed production, processing, and marketing limits the competitiveness of the oil crop or legume seed markets.