VGU RESEARCH REPOSITORY
Please use this identifier to cite or link to this item:
https://epub.vgu.edu.vn/handle/dlibvgu/1775
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Dang Chi Cong | en_US |
dc.date.accessioned | 2024-02-16T04:18:22Z | - |
dc.date.available | 2024-02-16T04:18:22Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | https://epub.vgu.edu.vn/handle/dlibvgu/1775 | - |
dc.description.abstract | Cloud computing is no longer a foreign idea to most people. Microsoft Azure is a cloud computing service provider for dealing with and processing large amounts of data. This thesis is the culmination of many days of effort, research, and study on cloud computing. The thesis covers all of the latest technologies that are popular today, from theoretical comprehension of Apache Spark and Databricks to hands-on experience with racing data. Furthermore, the thesis includes a mix of additional Azure technologies like as Key Vault, Power BI, and others that contribute to visualizing and constructing a full cloud architecture that allows everyone to have a better understanding of big data and its applications today | en_US |
dc.language.iso | en | en_US |
dc.subject | Cloud architect | en_US |
dc.subject | Big data | en_US |
dc.subject | Racing sport | en_US |
dc.title | Cloud architect for big data and application in racing sport | en_US |
dc.type | Thesis | en_US |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | other | - |
item.grantfulltext | restricted | - |
Appears in Collections: | Computer Science (CS) |
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File | Description | Size | Format | Existing users please Login |
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Cloud architect for big data and application in racing sport.pdf | 2.59 MB | Adobe PDF |
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