International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 2 (March-April 2026) Submit your research before last 3 days of April to publish your research paper in the issue of March-April.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 8 Issue 2
March-April 2026

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Hadoop-to-Cloud Migration in Healthcare: Lessons and Case Studies

Author(s) Selvakumar Kalyanasundaram
Country United States
Abstract This paper explores the accelerating shift from traditional on-premises Hadoop clusters to modern, cloud-native data platforms, with a focus on Google Cloud. It highlights the limitations of Hadoop, including steep maintenance costs, performance bottlenecks, fragmented ecosystems, and lack of real-time processing capabilities. The study reviews key migration approaches—lift-and-shift, hybrid models, and full re-platforming—and examines the unique challenges enterprises face, such as large-scale data transfer, schema translation, compliance, and operational continuity. Through detailed case studies, including migrations by Seattle Children’s Hospital and the Australian Department of Health and Aged Care, the paper illustrates how organizations have leveraged Google Cloud services like BigQuery, Dataproc, and Dataplex to achieve improved scalability, faster analytics, and reduced operational overhead. Lessons learned emphasize phased transitions, cloud-native modernization, governance, and the importance of training and change management. Ultimately, this paper demonstrates how cloud migration not only reduces infrastructure burdens but also enables innovation in advanced analytics and AI, particularly within healthcare.
Keywords Google Cloud, Health care, migration, Hadoop, best practices
Field Engineering
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-10-09
DOI https://doi.org/10.36948/ijfmr.2025.v07i05.61077
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 8 Isu 2Cover Page Vol 8 Isu 1Cover Page Vol 7 Isu 6

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com
Powered by Sky Research Publication and Journals