DESIGNING SCALABLE ETL PIPELINES FOR MULTI-SOURCE GRAPH DATABASE INGESTION
Keywords:
Graph Databases, ETL Pipelines, Neo4j, Apache Spark, Data Integration, Multi Source Ingestion, Scalable Architecture, Real-Time ProcessingAbstract
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://eudoxuspress.com/index.php/pub/article/view/4059
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