Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Conference Papers Conference Paper Faculty Publications- Conference Papers Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource ETL and Business Analytics Correlation Mapping with Software Engineering Subject The topic of the resource Business analysis; Data science; ETL process; SDLC; Software engineering Description An account of the resource Large information approach can't be effectively accomplished utilizing customary information investigation strategies. Rather, unstructured information requires specific information demonstrating methods, apparatuses, and frameworks to separate experiences and data varying by associations. Information science is a logical methodology that applies scientific and measurable thoughts and PC instruments for preparing large information. At present, we all are seeing an exceptional development of data created worldwide and on the web to bring about the idea of large information. Information science is a significant testing zone because of the complexities engaged with consolidating and applying various strategies, calculations, and complex programming procedures to perform insightful investigation in huge volumes of information. Thus, the field of information science has developed from enormous information, or huge information and information science are indistinguishable. In this article we have tried to create bridge between ETL and software engineering. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Paikaray B.K.; Dube M.R.; Swain D. Source A related resource from which the described resource is derived Advances in Intelligent Systems and Computing, Vol-1311 AISC, pp. 501-511. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-33-4859-2_49" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-33-4859-2_49</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104764040&amp;doi=10.1007%2F978-981-33-4859-2_49&amp;partnerID=40&amp;md5=9eba96b7771624a6e246fd404ef8741e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85104764040&amp;doi=10.1007%2f978-981-33-4859-2_49&amp;partnerID=40&amp;md5=9eba96b7771624a6e246fd404ef8741e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 21945357; ISBN: 978-981334858-5 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Paikaray B.K., Department of CSE, Centurion University of Technology and Management, Bhubaneswar, Odisha, India; Dube M.R., Department of CSE, Vishwakarma Institute of Technology, Pune, India; Swain D., Department of Data Science Department, Christ University, Lavasa, Pune, India