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In today?s data-intensive industries, the demand for real-time billing pipelines has surged alongside growing regulatory pressures for data governance, auditability, and security. This paper proposes a compliance-centric architectural model that integrates Fabric Warehouses and serverless Lambda Functions to support high-performance billing workflows while embedding compliance at the core of data operations. The model introduces a modular, event-driven pipeline that processes transactions in real-time, applying validation, access control, and audit logging as inherent pipeline functions. By leveraging Fabric Warehouses for secure, schema-enforced storage and Lambda Functions for scalable, event-based computation, the system achieves low-latency processing without compromising data accuracy or regulatory adherence. Key contributions include a layered architecture design, automated compliance enforcement mechanisms, and a metadata-driven operational workflow that improves transparency, traceability, and fault tolerance. The model?s strategic implications are examined across three domains: enhancing regulatory compliance and data integrity, improving scalability through decoupled architecture, and increasing operational efficiency via automation and real-time monitoring. The proposed approach offers practical insights for modernizing legacy billing systems and supports future extensions involving AI-driven anomaly detection and cross-platform orchestration. This research contributes a replicable, future-ready framework for enterprises aiming to ensure continuous compliance in increasingly complex digital billing environments.
Real-Time Billing Pipelines, Compliance-Centric Architecture, Fabric Warehouses, Serverless Lambda Functions, Data Governance, Regulatory Automation
IRE Journals:
Babawale Patrick Okare, Tope David Aduloju, Olanrewaju Oluwaseun Ajayi, Okeoma Onunka, Linda Azah "A Compliance-Centric Model for Real-Time Billing Pipelines Using Fabric Warehouses and Lambda Functions" Iconic Research And Engineering Journals Volume 5 Issue 2 2021 Page 297-309
IEEE:
Babawale Patrick Okare, Tope David Aduloju, Olanrewaju Oluwaseun Ajayi, Okeoma Onunka, Linda Azah
"A Compliance-Centric Model for Real-Time Billing Pipelines Using Fabric Warehouses and Lambda Functions" Iconic Research And Engineering Journals, vol. 5, no. 2, Aug. 2021
APA:
Babawale Patrick Okare, Tope David Aduloju, Olanrewaju Oluwaseun Ajayi, Okeoma Onunka, Linda Azah
(2021). A Compliance-Centric Model for Real-Time Billing Pipelines Using Fabric Warehouses and Lambda Functions. Iconic Research And Engineering Journals, 5(2).
MLA:
Babawale Patrick Okare, Tope David Aduloju, Olanrewaju Oluwaseun Ajayi, Okeoma Onunka, Linda Azah
"A Compliance-Centric Model for Real-Time Billing Pipelines Using Fabric Warehouses and Lambda Functions" Iconic Research And Engineering Journals, vol. 5, no. 2, Aug. 2021.
@article{1709559,
author = {Babawale Patrick Okare, Tope David Aduloju, Olanrewaju Oluwaseun Ajayi, Okeoma Onunka, Linda Azah},
title = {A Compliance-Centric Model for Real-Time Billing Pipelines Using Fabric Warehouses and Lambda Functions},
journal = {Iconic Research And Engineering Journals},
year = {2021},
volume = {5},
number = {2},
pages = {297-309},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1709559.pdf},
abstract = {In today?s data-intensive industries, the demand for real-time billing pipelines has surged alongside growing regulatory pressures for data governance, auditability, and security. This paper proposes a compliance-centric architectural model that integrates Fabric Warehouses and serverless Lambda Functions to support high-performance billing workflows while embedding compliance at the core of data operations. The model introduces a modular, event-driven pipeline that processes transactions in real-time, applying validation, access control, and audit logging as inherent pipeline functions. By leveraging Fabric Warehouses for secure, schema-enforced storage and Lambda Functions for scalable, event-based computation, the system achieves low-latency processing without compromising data accuracy or regulatory adherence. Key contributions include a layered architecture design, automated compliance enforcement mechanisms, and a metadata-driven operational workflow that improves transparency, traceability, and fault tolerance. The model?s strategic implications are examined across three domains: enhancing regulatory compliance and data integrity, improving scalability through decoupled architecture, and increasing operational efficiency via automation and real-time monitoring. The proposed approach offers practical insights for modernizing legacy billing systems and supports future extensions involving AI-driven anomaly detection and cross-platform orchestration. This research contributes a replicable, future-ready framework for enterprises aiming to ensure continuous compliance in increasingly complex digital billing environments.},
keywords = {Real-Time Billing Pipelines, Compliance-Centric Architecture, Fabric Warehouses, Serverless Lambda Functions, Data Governance, Regulatory Automation},
month = {August}
}