Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Introduction to GIS

Introduction to GIS

Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...

Introduction to Learning

Introduction to Learning

Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
In contrast to learned behaviors, unlearned behaviors such as crying, sexual...

Statistical Software for Data Analysis and Clinical Trials

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...

Maxwell-Boltzmann Distribution: Problem Solving

Maxwell-Boltzmann Distribution: Problem Solving

Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by

Parallel Processing

Parallel Processing

The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...

Cluster Sampling Method

Cluster Sampling Method

Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Pilot study of EsoCheck/EsoGuard for detecting Barrett's esophagus in high-risk patients undergoing hiatal hernia repair.

Surgical endoscopy·2026

Same author

State gun policies affect veteran and civilian suicide rates differently.

The journal of trauma and acute care surgery·2026

Same author

The Gut-Brain Axis: A Case Report of Transanal Extrusion of a Ventriculoperitoneal Shunt and Literature Review.

Cureus·2026

Same author

Traumatic Intrapericardial Diaphragmatic Hernia: Diagnostic Challenges and the Role of Multimodal Evaluation.

The American surgeon·2026

Same author

Web Scraping Techniques for Surgical Research: A Technical Tutorial With a Worked Example in Publication Data Mining.

The American surgeon·2026

Same author

Impact of Kidney and Liver Transplant Following Blunt Trauma: A Propensity-Matched National Database Study.

The American surgeon·2026

Same journal

Musculoskeletal Pain in Surgeons on Operating Days.

The American surgeon·2026

Same journal

Splenectomy During Cytoreductive Surgery: Marker of Surgical Burden or Independent Predictor of Morbidity?

The American surgeon·2026

Same journal

Predictors of a Long Hospital Stay After Abdominoperineal Resection of Rectal Cancer: Analysis of the National Cancer Database.

The American surgeon·2026

Same journal

Robotic Resection of Right Perihilar Intrahepatic Cholangiocarcinoma: Practical Technique of Major Hepatic Resection for Biliary Tract Cancer.

The American surgeon·2026

Same journal

Application of the Heidelberg Prognostic Pancreatic Cancer Score for Survival Risk Stratification in Stage II/III Colorectal Cancer.

The American surgeon·2026

Same journal

Upfront Total Mesorectal Excision for MRI-Defined Low-Risk cT3 Rectal Cancer: A Systematic Review and Meta-Analysis.

The American surgeon·2026

See all related articles

Search research articles

Related Experiment Videos

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

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 Services Google Cloud Platform Microsoft Azure big data cloud computing data science hospital pricing research 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.