Exploring BI Data Transition to the Cloud: Analysis & Recommendations
Authors: 
Najia Khouibiri, Yousef Farhaoui, 
Hamed Taherdoost, 
Serafeim A. TriantafyllouAuthors Info & Claims
Najia Khouibiri, Yousef Farhaoui, Hamed Taherdoost, Serafeim A. TriantafyllouAuthors Info & ClaimsPages 131 - 136
Abstract
The process of transitioning Business Intelligence (BI) data to cloud environments involves migrating data, on-premises BI tools, services, and to a distributed cloud-based infrastructure. The success of this transition depends on meticulous planning and impact analysis of existing enterprise systems. A common procedure entails moving locally stored data from on-premises systems to a cloud-based BI environment. Cloud migration presents both challenges and advantages, prompting extensive scholarly investigations and technical analysis of BI data migration to cloud environments. In this paper, we dissect existing data migration strategies into three distinct approaches based on essential cloud deployment models. Each approach requires specific processes, and corresponding tasks are integrated accordingly. We analyze the similarities and differences between these strategies, emphasizing the challenges and proposing future directions for data migration to the cloud. Through a comprehensive study, we identify the key benefits and obstacles associated with migrating BI data into cloud-based BI platforms. Additionally, we recommend various BI data transition methods and models to assess performance, address security requirements, select an appropriate cloud service provider, estimate costs, and facilitate necessary business adjustments. The insights from this research paper provide a secure and effective roadmap for transitioning BI data within a cloud computing environment.
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Index Terms
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Published In
July 2024
170 pages
ISBN:9798400709609
DOI:10.1145/3685767
Copyright © 2024 ACM.
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Published: 09 September 2024
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CTCNet 2024
CTCNet 2024: 2024 Asia Pacific Conference on Computing Technologies, Communications and Networking
July 26 - 27, 2024
Chengdu, China
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