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  1. Home
  3. Cloud Computing Startup For Data Science- A Tutorial.
  1. Home
  3. Cloud Computing Startup For Data Science- A Tutorial.

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Cloud Computing Startup for Data Science- A Tutorial.

Andrew C Kuo1, Lorenzo Hiraldo1, Rachel L Wolansky1

  • 1Dept of Surgery, Onetomap Analytics, University of South Florida, Tampa, FL, USA.

The American Surgeon
|March 21, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

This tutorial guides researchers on using cloud computing for large dataset analysis. It compares major platforms like Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure, offering practical steps for data analysis.

Keywords:
Amazon Web ServicesGoogle Cloud PlatformMicrosoft Azurebig datacloud computingdata sciencehospital pricingresearch computing

Related Experiment Videos

Area of Science:

  • Data Science
  • Computational Science
  • Health Informatics

Background:

  • Large dataset analysis presents significant computational challenges.
  • Cloud computing offers scalable and flexible solutions for data-intensive research.
  • Research groups need practical guidance to adopt cloud platforms effectively.

Purpose of the Study:

  • To provide a comprehensive, practical tutorial for researchers on leveraging cloud computing for data analysis.
  • To compare the major cloud platforms (GCP, AWS, Azure) for research use cases.
  • To equip researchers with the knowledge to select and utilize cloud services efficiently.

Main Methods:

  • Foundational concepts of cloud computing, including history, rationale, and research use cases.
  • Side-by-side comparisons of Google Cloud Platform (GCP), Amazon Web Services (AWS), and Microsoft Azure.
  • A step-by-step practical example using hospital price transparency data.

    • Main Results:

    • Detailed comparisons of services, costs, and ease of use across major cloud platforms.
    • Selection guidelines to assist researchers in choosing the most suitable cloud platform.
    • A complete workflow demonstration from account creation to results retrieval.

    Conclusions:

    • Cloud computing significantly enhances the analysis of large datasets for research.
    • Researchers can effectively utilize platforms like GCP, AWS, and Azure for their data analysis needs.
    • This tutorial enables researchers to commence productive cloud-based analysis rapidly.