AUTO-SCALING DISTRIBUTED ETL SYSTEMS WITH SERVERLESS PLATFORMS
Keywords:
Serverless Computing, ETL Systems, Auto-scaling Architecture, Data Processing Optimization, Performance ManagementAbstract
This comprehensive article explores the evolution and implementation of auto-scaling distributed ETL systems using serverless platforms. The article examines how serverless architectures revolutionize traditional ETL processes by providing dynamic resource management, improved scalability, and cost-effective operations. The article investigates performance optimization, memory management, concurrency handling, and security considerations in serverless ETL implementations. The article demonstrates how serverless platforms address traditional ETL challenges through detailed analysis of real-world deployments while offering enhanced reliability, reduced operational overhead, and improved resource utilization. The article also explores technical challenges and mitigation strategies, providing insights into best practices for implementing serverless ETL solutions in modern data processing environments.
References
Antreas Pogiatzis and Georgios Samakovitis, "An Event-Driven Serverless ETL Pipeline on AWS," Applied Sciences, vol. 11, no. 1, p. 191, 2021. Available: https://www.mdpi.com/2076-3417/11/1/191
D. Reinsel, J. Gantz, and J. Rydning, "Data Age 2025: The Evolution of Data to Life-Critical," IDC WhitePaper,March2017.Available:https://www.seagate.com/files/www-content/our-story/trends/files/Seagate-WP-DataAge2025-March-2017.pdf
Harsh Yadav, "Scalable ETL pipelines for aggregating and manipulating IoT data for customer analytics and machine learning," International Journal of Research and Computational Technology Development, vol. 4, no. 2, 2023. Available: https://jrctd.in/index.php/IJRCTD/article/view/45/21
Lina Dinesh, K. Gayathri Devi, "An efficient hybrid optimization of ETL process in the data warehouse of cloud architecture," Journal of Cloud Computing: Advances, Systems, and Applications, vol.12,2024.Available:https://journalofcloudcomputing.springeropen.com/articles/10.1186/s13677-023-00571-y
Zahra Shojaee Rad & Mostafa Ghobaei-Arani, "Data pipeline approaches in serverless computing: a taxonomy, review, and research trends," Journal of Big Data, vol. 11, no. 1, pp. 1-23, 2024.Available: https://journalofbigdata.springeropen.com/articles/10.1186/s40537-024-00939-0
N. Saravana Kumar, Samy S Selvakumara, "Serverless Computing Platforms Performance and Scalability Implementation Analysis, "International Conference on Computer, Power and Communications (ICCPC).2023. Available: https://ieeexplore.ieee.org/document/10072137
Daniel Bardsley; Larry Ryan et al., "Serverless Performance and Optimization Strategies," 2018 IEEE International Conference on Smart Cloud (SmartCloud) 2018. Available: https://ieeexplore.ieee.org/abstract/document/8513710
Nishanth Reddy Mandala, "ETL in Big Data Architectures: Challenges and Solutions," International Journal of Science and Research (IJSR) ISSN: 2319-7064 2024. Available: https://www.ijsr.net/archive/v13i10/SR241014054151.pdf
Dr. Rajkumar Shah, "Efficient Cloud-Based Solutions for E-commerce Platforms," International Journal of Research and Review Techniques (IJRRT), ISSN: 3006-1075 Volume 3, Issue 2, April-June, 2024. Available: https://ijrrt.com/index.php/ijrrt/article/view/208/83
Akash Balaji Mali, Rahul Arulkumaran et al., "Optimizing Cloud-Based Data Pipelines Using AWS, Kafka, and Postgres," International Research Engineering Journal, vol. 5, no. 4, 2024. Available: https://www.irejournals.com/formatedpaper/1702915.pdf
Adilah Sabtu, Nurulhuda, et al., "The Challenges Of Extract, Transform And Load (Etl) For Data Integration In Near Realtime Environment," Journal of Theoretical and Applied Information Technology 30th November 2017. Vol.95. No 22. Available: https://www.jatit.org/volumes/Vol95No22/33Vol95No22.pdf
Anshul Sharma, "Performance Optimization Techniques For Serverless Computing Platforms," International Journal of Computer Engineering and Technology (IJCET) Volume 15, Issue 4, July-Aug 2024.Available:https://iaeme.com/MasterAdmin/Journal_uploads/IJCET/VOLUME_15_ISSUE_4/IJCET_15_04_071.pdf
Bilal Khan, Saifullah Jan, et al., "An Overview of ETL Techniques, Tools, Processes and Evaluations in Data Warehousing," Journal of Big Data, 2024. Available: https://file.techscience.com/files/jbd/2024/TSP_JBD-6/TSP_JBD_46223/TSP_JBD_46223.pdf
Xuyi Yao et al., "Performance Optimization in Serverless Edge Computing Environment using DRL-Based Function Offloading," IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2022. Available: https://ieeexplore.ieee.org/document/9776166
Mustafa Daraghmeh, Anjali Agarwal et al., "Optimizing serverless computing: A comparative analysis of multi-output regression models for predictive function invocations," Simulation Modelling Practice and Theory, vol. 134, no. 2, pp. 102-118, 2024. Available: https://www.sciencedirect.com/science/article/pii/S1569190X2400039X
Jorge A, Manuel, et al., "Development of a Data Integration Architecture for Modern Sustainable Farming Systems: A Greenhouse Test Case," IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) 2023. Available: https://ieeexplore.ieee.org/document/10424239
