Abstract
Progression in data and correspondence innovation Information and Communication Technologies (ICT) has offered ascend to a explore of information in each area by tasks. Functioning with colossal capacity of information in area of Big Information related Data, as it is famously familiar concerning the withdrawal of valuable data for help dynamic only the wellsprings for upper hand for associations nowadays. Ventures through utilizing for intensity for investigation with planning occupation system with every instance for their tasks with alleviate occupation hazard. An unpredictable worldwide market situation has constrained the associations to reclassify their Supply Chain the board SCM. Through this study, the main goal of outlined for pertinence with Huge Data with significance in overseeing start finish gracefully supply with accomplishing enterprises greatness. In big data engineering for Supply Chain Management is suggested misuses present status of the relationship innovation of information the executives, examination, and perception or forecasting. The protection and security prerequisites of a Big Data framework have likewise been featured and a few components have been talked about to actualize these highlights in a true Big Data framework organization with regards to Supply Chain Management. Some future extent of work has likewise been called attention.
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Kumar, S., Rathore, V.S., Mathur, A. (2022). An Analytical Study on Big Data Management for Supply Chain Analytics. In: Agrawal, R., Jain, J.K., Yadav, V.S., Manupati, V.K., Varela, L. (eds) Recent Advances in Industrial Production. ICEM 2020. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-5281-3_31
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DOI: https://doi.org/10.1007/978-981-16-5281-3_31
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