ETL and Business Analytics Correlation Mapping with Software Engineering
- Title
- ETL and Business Analytics Correlation Mapping with Software Engineering
- Creator
- Paikaray B.K.; Dube M.R.; Swain D.
- Description
- 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.
- Source
- Advances in Intelligent Systems and Computing, Vol-1311 AISC, pp. 501-511.
- Date
- 2021-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Business analysis; Data science; ETL process; SDLC; Software engineering
- Coverage
- 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
- Rights
- Restricted Access
- Relation
- ISSN: 21945357; ISBN: 978-981334858-5
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Paikaray B.K.; Dube M.R.; Swain D., “ETL and Business Analytics Correlation Mapping with Software Engineering,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/20606.