Automation of Electrical Substation Data Flows using Azure Data Factory
Main Article Content
Abstract
The automation of electrical substations is a crucial aspect of modern energy management, particularly as utilities grapple with increasing demands for real-time data processing and decision-making. This manuscript explores the implementation of Azure Data Factory (ADF) to automate data flows in electrical substations, focusing on its potential for enhancing low-latency data handling in financial systems.
In today's fast-paced financial environment, the speed and accuracy of data processing are paramount for effective decision-making. Traditional data management systems often struggle to provide timely insights, resulting in inefficiencies and delayed responses to market changes. This study emphasizes the transformative role of ADF in automating data flows, which facilitates seamless integration and real-time access to critical data.
The research methodology involves a comprehensive analysis of existing data workflows, the design and implementation of automated ADF pipelines, and rigorous testing to validate system performance. Results demonstrate significant improvements in data latency, accuracy, and overall efficiency in financial decision-making.
By showcasing the operational advantages of using ADF, this manuscript aims to provide utilities with a roadmap for optimizing their data management processes. The findings highlight the potential of automated data flows to not only enhance operational efficiency but also to empower utilities to make faster, data-driven decisions that align with market demands.
This work contributes to the growing body of literature on the integration of cloud-based technologies in the energy sector, offering insights into best practices for leveraging automation in electrical substations. Ultimately, the implementation of Azure Data Factory represents a significant step forward in achieving low-latency data handling, ensuring that financial systems are equipped to respond promptly and effectively to the complexities of modern energy markets.
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References
• Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. https://rjpn.org/ijcspub/papers/IJCSP20B1006.pdf
• "Effective Strategies for Building Parallel and Distributed Systems", International Journal of Novel Research and Development, ISSN:2456-4184, Vol.5, Issue 1, page no.23-42, January-2020. http://www.ijnrd.org/papers/IJNRD2001005.pdf
• "Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Challenges and Solutions", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.96-108, September-2020, https://www.jetir.org/papers/JETIR2009478.pdf
• Venkata Ramanaiah Chintha, Priyanshi, Prof.(Dr) Sangeet Vashishtha, "5G Networks: Optimization of Massive MIMO", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.389-406, February-2020. (http://www.ijrar.org/IJRAR19S1815.pdf )
• Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491 https://www.ijrar.org/papers/IJRAR19D5684.pdf
• Sumit Shekhar, SHALU JAIN, DR. POORNIMA TYAGI, "Advanced Strategies for Cloud Security and Compliance: A Comparative Study", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.396-407, January 2020. (http://www.ijrar.org/IJRAR19S1816.pdf )
• "Comparative Analysis OF GRPC VS. ZeroMQ for Fast Communication", International Journal of Emerging Technologies and Innovative Research, Vol.7, Issue 2, page no.937-951, February-2020. (http://www.jetir.org/papers/JETIR2002540.pdf )
• Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. https://rjpn.org/ijcspub/papers/IJCSP20B1006.pdf
• "Effective Strategies for Building Parallel and Distributed Systems". International Journal of Novel Research and Development, Vol.5, Issue 1, page no.23-42, January 2020. http://www.ijnrd.org/papers/IJNRD2001005.pdf
• "Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Challenges and Solutions". International Journal of Emerging Technologies and Innovative Research, Vol.7, Issue 9, page no.96-108, September 2020. https://www.jetir.org/papers/JETIR2009478.pdf
• Venkata Ramanaiah Chintha, Priyanshi, & Prof.(Dr) Sangeet Vashishtha (2020). "5G Networks: Optimization of Massive MIMO". International Journal of Research and Analytical Reviews (IJRAR), Volume.7, Issue 1, Page No pp.389-406, February 2020. (http://www.ijrar.org/IJRAR19S1815.pdf)
• Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491. https://www.ijrar.org/papers/IJRAR19D5684.pdf
• Sumit Shekhar, Shalu Jain, & Dr. Poornima Tyagi. "Advanced Strategies for Cloud Security and Compliance: A Comparative Study". International Journal of Research and Analytical Reviews (IJRAR), Volume.7, Issue 1, Page No pp.396-407, January 2020. (http://www.ijrar.org/IJRAR19S1816.pdf)
• "Comparative Analysis of GRPC vs. ZeroMQ for Fast Communication". International Journal of Emerging Technologies and Innovative Research, Vol.7, Issue 2, page no.937-951, February 2020. (http://www.jetir.org/papers/JETIR2002540.pdf)
• Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. Available at: http://www.ijcspub/papers/IJCSP20B1006.pdf
• Enhancements in SAP Project Systems (PS) for the Healthcare Industry: Challenges and Solutions. International Journal of Emerging Technologies and Innovative Research, Vol.7, Issue 9, pp.96-108, September 2020. [Link](http://www.jetir papers/JETIR2009478.pdf)
• Synchronizing Project and Sales Orders in SAP: Issues and Solutions. IJRAR - International Journal of Research and Analytical Reviews, Vol.7, Issue 3, pp.466-480, August 2020. [Link](http://www.ijrar IJRAR19D5683.pdf)
• Cherukuri, H., Pandey, P., & Siddharth, E. (2020). Containerized data analytics solutions in on-premise financial services. International Journal of Research and Analytical Reviews (IJRAR), 7(3), 481-491. [Link](http://www.ijrar viewfull.php?&p_id=IJRAR19D5684)
• Cherukuri, H., Singh, S. P., & Vashishtha, S. (2020). Proactive issue resolution with advanced analytics in financial services. The International Journal of Engineering Research, 7(8), a1-a13. [Link](tijer tijer/viewpaperforall.php?paper=TIJER2008001)
• Eeti, E. S., Jain, E. A., & Goel, P. (2020). Implementing data quality checks in ETL pipelines: Best practices and tools. International Journal of Computer Science and Information Technology, 10(1), 31-42. [Link](rjpn ijcspub/papers/IJCSP20B1006.pdf)
• Sumit Shekhar, SHALU JAIN, DR. POORNIMA TYAGI, "Advanced Strategies for Cloud Security and Compliance: A Comparative Study," IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.396-407, January 2020, Available at: [IJRAR](http://www.ijrar IJRAR19S1816.pdf)
• VENKATA RAMANAIAH CHINTHA, PRIYANSHI, PROF.(DR) SANGEET VASHISHTHA, "5G Networks: Optimization of Massive MIMO", IJRAR - International Journal of Research and Analytical Reviews (IJRAR), E-ISSN 2348-1269, P- ISSN 2349-5138, Volume.7, Issue 1, Page No pp.389-406, February-2020. Available at: IJRAR19S1815.pdf
• "Effective Strategies for Building Parallel and Distributed Systems", International Journal of Novel Research and Development, ISSN:2456-4184, Vol.5, Issue 1, pp.23-42, January-2020. Available at: IJNRD2001005.pdf
• "Comparative Analysis OF GRPC VS. ZeroMQ for Fast Communication", International Journal of Emerging Technologies and Innovative Research, ISSN:2349-5162, Vol.7, Issue 2, pp.937-951, February-2020. Available at: JETIR2002540.pdf
• Shyamakrishna Siddharth Chamarthy, Murali Mohana Krishna Dandu, Raja Kumar Kolli, Dr. Satendra Pal Singh, Prof. (Dr.) Punit Goel, & Om Goel. (2020). "Machine Learning Models for Predictive Fan Engagement in Sports Events." International Journal for Research Publication and Seminar, 11(4), 280–301. https://doi.org/10.36676/jrps.v11.i4.1582 Goel, P. & Singh, S. P. (2009). Method and Process Labor Resource Management System. International Journal of Information Technology, 2(2), 506-512.
• Singh, S. P. & Goel, P., (2010). Method and process to motivate the employee at performance appraisal system. International Journal of Computer Science & Communication, 1(2), 127-130.
• Goel, P. (2012). Assessment of HR development framework. International Research Journal of Management Sociology & Humanities, 3(1), Article A1014348. https://doi.org/10.32804/irjmsh
• Goel, P. (2016). Corporate world and gender discrimination. International Journal of Trends in Commerce and Economics, 3(6). Adhunik Institute of Productivity Management and Research, Ghaziabad.
• Ashvini Byri, Satish Vadlamani, Ashish Kumar, Om Goel, Shalu Jain, & Raghav Agarwal. (2020). Optimizing Data Pipeline Performance in Modern GPU Architectures. International Journal for Research Publication and Seminar, 11(4), 302–318. https://doi.org/10.36676/jrps.v11.i4.1583
• Indra Reddy Mallela, Sneha Aravind, Vishwasrao Salunkhe, Ojaswin Tharan, Prof.(Dr) Punit Goel, & Dr Satendra Pal Singh. (2020). Explainable AI for Compliance and Regulatory Models. International Journal for Research Publication and Seminar, 11(4), 319–339. https://doi.org/10.36676/jrps.v11.i4.1584
• Sandhyarani Ganipaneni, Phanindra Kumar Kankanampati, Abhishek Tangudu, Om Goel, Pandi Kirupa Gopalakrishna, & Dr Prof.(Dr.) Arpit Jain. (2020). Innovative Uses of OData Services in Modern SAP Solutions. International Journal for Research Publication and Seminar, 11(4), 340–355. https://doi.org/10.36676/jrps.v11.i4.1585
• Saurabh Ashwinikumar Dave, Nanda Kishore Gannamneni, Bipin Gajbhiye, Raghav Agarwal, Shalu Jain, & Pandi Kirupa Gopalakrishna. (2020). Designing Resilient Multi-Tenant Architectures in Cloud Environments. International Journal for Research Publication and Seminar, 11(4), 356–373. https://doi.org/10.36676/jrps.v11.i4.1586
• Rakesh Jena, Sivaprasad Nadukuru, Swetha Singiri, Om Goel, Dr. Lalit Kumar, & Prof.(Dr.) Arpit Jain. (2020). Leveraging AWS and OCI for Optimized Cloud Database Management. International Journal for Research Publication and Seminar, 11(4), 374–389. https://doi.org/10.36676/jrps.v11.i4.1587