DESIGNING SCALABLE ETL PIPELINES FOR MULTI-SOURCE  GRAPH DATABASE INGESTION

Sumit Gupta

DESIGNING SCALABLE ETL PIPELINES FOR MULTI-SOURCE GRAPH DATABASE INGESTION

Authors

Sumit Gupta

Keywords:

Graph Databases, ETL Pipelines, Neo4j, Apache Spark, Data Integration, Multi Source Ingestion, Scalable Architecture, Real-Time Processing

Abstract

Graph databases are becoming more and more popular among modern enterprises to representcomplex relationships in, for instance, social networks, fraud detection, knowledge management

References

Anderson, K., Martinez, R., and Chen, L. (2024) 'ETL design patterns for NoSQL databases: challenges and solutions for schema-less data integration', Journal of Database Management, 35(2), pp. 78-103.

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Published

2023-11-15

How to Cite

Sumit Gupta. (2023). DESIGNING SCALABLE ETL PIPELINES FOR MULTI-SOURCE GRAPH DATABASE INGESTION . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2080–2100. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/4059