
International Journal of Leading Research Publication
E-ISSN: 2582-8010
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 6 Issue 7
July 2025
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Leveraging Big Data and ETL for Border and Immigration Security
Author(s) | Manohar Reddy Sokkula |
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Country | United States |
Abstract | As means of communication and transportation have improved, boundaries have been progressively dismantled. Large audiences are feeling the effects of events that are happening in various nations. Complex security issues have arisen in recent years as a result of responses to an upsurge in attacks and domestic unrest. A lot of nations are having a hard time keeping their borders secure and figuring out how to stop people from crossing illegally. It is reasonable to look at data that comes in at various times from various directions and kinds in real time while thinking about the breadth of border security. Furthermore, a logical approach to developing a pipeline employing Big Data technology would be to include large-scale unstructured analysis of data into the overall solution. The goal of this research is to develop a system that can address border security issues while being affordable, reliable, scalable, and adaptable. Applications related to border security were studied in relation to the usage of Lambda Architecture, which offers batch processing capabilities and real-time data processing. We covered the fundamentals of system development and gave the rundown on how it works. |
Keywords | Border and Immigration Security; Big Data and ETL; Multi-Aspect Integrated Migration Indicators (MIMI), v2.0, Apache Spark, Lambda Architecture, Apache Kafka, Cassandra, Real-time Data Processing, Batch Data Processing , Artificial-Intelligence |
Field | Computer > Data / Information |
Published In | Volume 6, Issue 6, June 2025 |
Published On | 2025-06-25 |
Cite This | Leveraging Big Data and ETL for Border and Immigration Security - Manohar Reddy Sokkula - IJLRP Volume 6, Issue 6, June 2025. |
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CrossRef DOI is assigned to each research paper published in our journal.
IJLRP DOI prefix is
10.70528/IJLRP
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