Transforming Data Governance with Metadata: A Key to Big Data Management
Fuente:
Zenodo
Salvato in:
| Autori principali: | , |
|---|---|
| Natura: | Recurso digital |
| Pubblicazione: |
Zenodo
2024
|
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866901791028805632 |
|---|---|
| author | Mr. Ashish N. Patil Dr. Prakash R. Devale |
| author_facet | Mr. Ashish N. Patil Dr. Prakash R. Devale |
| contents | <p>In the era of big data, the volume, variety, and velocity of data generation has significant challenges for<br>effective governance. Traditional approaches often are dependent on the direct governance of original<br>datasets, which can lead to inefficiencies, data privacy concerns, and scalability issues. This paper<br>presents the potential of metadata in addressing these challenges, positioning it as crucial asset for<br>enhancing data governance strategies. By integrating metadata descriptive, structural and administrative<br>data organizations can streamline processes such as data access, security, compliance, and lifecycle<br>management without directly interacting with the raw data. This metadata-driven approach ensures<br>better scalability, preserves data privacy, and enhances overall data management efficiency. The study<br>investigates use case related to credit card fraud detection using various machine and deep learning<br>algorithms, highlighting how metadata governance frameworks can offer a more sustainable solution for<br>managing the complexities of big data. </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_14982979 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Transforming Data Governance with Metadata: A Key to Big Data Management Mr. Ashish N. Patil Dr. Prakash R. Devale <p>In the era of big data, the volume, variety, and velocity of data generation has significant challenges for<br>effective governance. Traditional approaches often are dependent on the direct governance of original<br>datasets, which can lead to inefficiencies, data privacy concerns, and scalability issues. This paper<br>presents the potential of metadata in addressing these challenges, positioning it as crucial asset for<br>enhancing data governance strategies. By integrating metadata descriptive, structural and administrative<br>data organizations can streamline processes such as data access, security, compliance, and lifecycle<br>management without directly interacting with the raw data. This metadata-driven approach ensures<br>better scalability, preserves data privacy, and enhances overall data management efficiency. The study<br>investigates use case related to credit card fraud detection using various machine and deep learning<br>algorithms, highlighting how metadata governance frameworks can offer a more sustainable solution for<br>managing the complexities of big data. </p> |
| title | Transforming Data Governance with Metadata: A Key to Big Data Management |
| url | https://doi.org/10.5281/zenodo.14982979 |