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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/1776
DC FieldValueLanguage
dc.contributor.authorLe Dinh Trung Hieuen_US
dc.date.accessioned2024-02-16T04:23:40Z-
dc.date.available2024-02-16T04:23:40Z-
dc.date.issued2022-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/1776-
dc.description.abstractThe healthcare industry is not only one of the largest and most complex sectors in the world economy, but it is also one of the most important aspects of our lives. Nowadays, healthcare organizations are one of the biggest producers of data. With the growth of Data Science and Big Data, the healthcare industry is undergoing tremendous change as it seeks to understand the bigger picture of healthcare and improve patient outcomes. The thesis introduces the concept of modern data storage and stack. The theoretical part focuses on the definition and purpose of data warehouse, data lake, and the ETLT process. In addition, cloud computing and modern data stack are discussed, with the focus on the Google Cloud Platform. In this thesis, we will build a cloud data warehouse based on OMOP CDM and data lake using realistic patient data with the support of the cloud and modern data stack applications. Besides, we conduct research by comparing different models and applications to select the best components for our solutions, which will make a significantly better approach for data and healthcare-related people to understand problems and make decisionsen_US
dc.language.isoenen_US
dc.publisherVietnamese-German University-
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectData warehouseen_US
dc.subjectData lakeen_US
dc.subjectHealthcare dataen_US
dc.subjectCloud platformen_US
dc.titleData warehouse and data lake in the cloud for healthcare dataen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Computer Science (CS)
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