This paper presents our endeavor to construct a secured, reactive and scalable data platform as a response to the increasing needs for reliable, real-time, and actionable insights that are refined from data. The adventure starts with the design and share of a business-driven data platform implementation strategy by several business and IT teams. Based on that, we demonstrate the main functions and features of this platform and justify the reason for which we had selected a virtual private cloud solution. Then, we described the types of ingested data and our data ingestion method. We further discussed several business & engineering problems and our method to solve them. Finally, we present our prospection of future efforts to improve our data platform at the end of this paper.
CITATION STYLE
Shi, F. (2020). Constructing a Secured, Reactive and Scalable Data Platform for a Better Exploitation of Rich Data Assets in the Tourism Industry. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12019 LNCS, pp. 236–244). Springer. https://doi.org/10.1007/978-3-030-45989-5_19
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