Cloud-based Data Warehouse Model Creation, Loading, and Performance Evaluation: A Comparative Analysis

Authors : Pooja D. Kavishwar; Dr. S. R. Pande

Volume/Issue : Volume 8 - 2023, Issue 7 - July

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This research paper aims to investigate the process of creating and loading a data warehouse model on cloud platforms and evaluate its performance. With the increasing adoption of cloud computing, organizations are leveraging cloud platforms to store and process large volumes of data for analytics purposes. By examining the data warehouse model creation, loading procedures, and performance metrics on different cloud platforms, this study aims to provide insights into the strengths and weaknesses of various platforms in supporting efficient and scalable data warehousing solutions.

Keywords : Data Warehouse models; Conceptual Data Models; Physical Data Models; Analytics Query; Query Response Time.


Paper Submission Last Date
31 - December - 2023

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In 1-2 Days

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