Evaluating Current Infrastructure and Future Directions for Data Warehouses and Big Data through Advancements in MMS

Bits of information kept in a data repository are called metadata.Since metadata is not easily accessible, IT administrators and extract-transform-load developers utilize a variety of techniques, often through the usage of a metadata coordinator, to make the metadata accessible.This provides business decision-makers with valuable information.The metadata includes details about the infrastructure, semantics, procedures and contents of the data warehouse.information is the foundation of both architecture components and OLAP analysis.In the case of big data storage, the architecture includes many kinds of information that are necessary for the proper functioning of architectural components.There is research on management systems, metadata frameworks and the development of data warehouse metadata handling.The evolution of metadata management in data warehouse repositories is reviewed in this study.What is the present data warehouse metadata management system (MMS) infrastructure?

Publication Details

Journal
International Research Journal of Modernization in Engineering Technology and Science
Published
2024-09-23
DOI
https://doi.org/10.56726/irjmets57930
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

Evaluating Current Infrastructure and Future Directions for Data Warehouses and Big Data through Advancements in MMS

International Research Journal of Modernization in Engineering Technology and Science
Cloud Computing and Resource Management
article

Evaluating Current Infrastructure and Future Directions for Data Warehouses and Big Data through Advancements in MMS

article en

Abstract

Bits of information kept in a data repository are called metadata.Since metadata is not easily accessible, IT administrators and extract-transform-load developers utilize a variety of techniques, often through the usage of a metadata coordinator, to make the metadata accessible.This provides business decision-makers with valuable information.The metadata includes details about the infrastructure, semantics, procedures and contents of the data warehouse.information is the foundation of both architecture components and OLAP analysis.In the case of big data storage, the architecture includes many kinds of information that are necessary for the proper functioning of architectural components.There is research on management systems, metadata frameworks and the development of data warehouse metadata handling.The evolution of metadata management in data warehouse repositories is reviewed in this study.What is the present data warehouse metadata management system (MMS) infrastructure?

International Research Journal of Modernization in Engineering Technology and Science
Industry, innovation and infrastructure
Openalex Percentile: Top 75%
Cloud Computing and Resource Management
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