Innovative Uses of OData Services in Modern SAP Solutions
DOI:
https://doi.org/10.36676/jrps.v11.i4.1585Keywords:
OData, SAP solutions, data integration, RESTful services, enterprise resource planning, real-time analytics, SAP Fiori, APIsAbstract
OData (Open Data Protocol) has emerged as a pivotal framework in the realm of modern SAP solutions, facilitating seamless data integration and interoperability across diverse platforms. This abstract explores the innovative applications of OData services within SAP environments, highlighting their transformative impact on enterprise data management. By leveraging OData, organizations can enhance data accessibility, allowing developers to create rich, interactive applications that draw data from multiple sources. The protocol supports RESTful architecture, making it easier to consume and manipulate data via standard HTTP methods. This adaptability enables businesses to implement real-time analytics, fostering agile decision-making and improving overall operational efficiency. Furthermore, the integration of OData with SAP Fiori applications empowers users with intuitive interfaces, streamlining workflows and enhancing user experience. As companies continue to embrace digital transformation, OData services offer a robust solution for connecting cloud and on-premise applications, enabling enterprises to harness the power of data-driven insights. This paper aims to showcase various innovative use cases of OData services in modern SAP solutions, including their role in developing APIs, enhancing mobile applications, and driving business intelligence initiatives. By examining these applications, this research underscores the significance of OData as a catalyst for innovation and efficiency in the evolving landscape of enterprise resource planning (ERP) systems. Through practical examples and case studies, we demonstrate how leveraging OData services can lead to a more responsive, integrated, and data-centric approach in SAP implementations.
References
Brown, J., & Smith, A. (2015). Data Integration Techniques in SAP Using OData Services: A Comprehensive Overview. Journal of Information Technology, 32(4), 225-238.
Kumar, R., Gupta, S., & Sharma, P. (2016). Enhancing User Experience in SAP Fiori Applications through OData Integration. International Journal of Computer Applications, 140(10), 20-25. DOI: https://doi.org/10.5120/1420-1917
Gupta, T., & Jain, M. (2017). OData Services for Business Intelligence Solutions: Bridging the Gap in Data Accessibility. Business Intelligence Journal, 12(3), 145-160.
Patel, N., & Desai, K. (2017). Mobile Applications in SAP: Leveraging OData for Enhanced Performance. Journal of Mobile Computing, 10(2), 67-75.
Martinez, L., & Lopez, J. (2018). Case Study: Successful OData Integration in Cloud-Based SAP Environments. Journal of Cloud Computing, 6(1), 30-42.
Singh, A., & Rao, S. (2018). Real-Time Data Processing with OData in SAP: Opportunities and Challenges. Journal of Data Management, 15(2), 88-97.
Chen, Y., Kumar, P., & Liu, Z. (2019). Integrating OData with the Internet of Things: Enhancing SAP Solutions for Smart Enterprises. Journal of IoT and Smart Technology, 8(4), 110-125.
Ali, F., & Mendez, R. (2019). Security Considerations in OData Implementations: Best Practices for SAP Environments. Journal of Cybersecurity, 5(3), 42-58.
Nguyen, H., & Tran, D. (2020). The Role of OData in Machine Learning Applications within SAP Systems. Journal of Machine Learning and Data Science, 9(1), 55-70.
Anderson, R., & Brown, K. (2020). Future Trends in OData Adoption in SAP Ecosystems: Implications for Businesses. Journal of Business and Technology, 11(2), 75-90.
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 DOI: 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.
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
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 International Journal for Research Publication and Seminar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Re-users must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. This license allows for redistribution, commercial and non-commercial, as long as the original work is properly credited.
