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dc.contributor.authorKulkarni, Chhaya
dc.contributor.authorRajan, Kavitha Loganathan Sundara
dc.contributor.authorWang, Xin
dc.date.accessioned2020-03-10T14:54:24Z
dc.date.available2020-03-10T14:54:24Z
dc.description.abstractBlack Friday fever attracts customers from far and wide. Excitement also leads to frantic chaos for e-commerce websites. To help ease the burden on the e-commerce companies managing the traffic as well as inventory is of utmost importance. An environment that emulates the Black Friday sale can be created well using Spark Streaming component. Spark SQL and Dataframes can be used to carry out operations and store data. We have attempted to see how we can effectively handle the inventory using Spark components.en_US
dc.description.sponsorshipThe hardware in the UMBC High Performance Computing Facility (HPCF) is supported by the U.S. National Science Foundation through the MRI program (grant nos. CNS–0821258, CNS–1228778, and OAC–1726023) and the SCREMS program (grant no. DMS–0821311), with additional substantial support from the University of Maryland, Baltimore County (UMBC). We would like to extend special thanks to our instructor Dr. Jianwu Wang for supporting us.en_US
dc.description.urihttp://hpcf-files.umbc.edu/research/papers/IS789_Project_Report-HPCF-2019-30.pdfen_US
dc.format.extent11 pagesen_US
dc.genrereportsen_US
dc.identifierdoi:10.13016/m2qem2-aomr
dc.identifier.citationChhaya Kulkarni, Kavitha Loganathan Sundara Rajan, Xin Wang, Efficient Product Inventory Maintenance for Black Friday Sale via Spark Big Data System ,http://hpcf-files.umbc.edu/research/papers/IS789_Project_Report-HPCF-2019-30.pdfen_US
dc.identifier.urihttp://hdl.handle.net/11603/17517
dc.language.isoen_USen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Information Systems Department Collection
dc.relation.ispartofUMBC Student Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectUMBC High Performance Computing Facility (HPCF), UMBC IS 789 (Big Data Fundamentals and Techniques)en_US
dc.titleEfficient Product Inventory Maintenance for Black Friday Sale via Spark Big Data Systemen_US
dc.typeTexten_US


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