Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The study explores the idea of data governance in the multi-cloud and hybrid technological platform. This process can increase the real-time monitoring of data flow, data lineages, and usage. Data security for any organization plays a vital role this can also be addressed after using this type of data governance platform. The results indicate that a single observability and governance strategy can give better data visibility. This also minimizes risks and achieves scalability of distributed systems. The paper points out some literature gaps that have been addressed in this study using thematic analysis on secondary data. The existing models, like cross-platform interoperability and automation, are now incapable of identifying the data risk. The future studies suggest AI-based governance solutions and research on governance issues using new and advanced technologies.
Keywords:
Data Governance, Observability, Multi-cloud, Hybrid Environments, Data Security, Compliance, Real-Time Tracking, Data Lineage, Scalability, Automation.
Cite Article:
"Enhancing Data Governance and Visibility in Hybrid and Multi-Cloud Ecosystems", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 1, page no.b17-b21, January-2025, Available :http://www.ijrti.org/papers/IJRTI2501124.pdf
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000226
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator