A Comprehensive Guide to SAP Data Center Migrations: Techniques and Case Studies

Authors

  • Sachin Bhatt   Independent Researcher, USA

DOI:

https://doi.org/10.32628/IJSRSET2310630

Keywords:

SAP data center migration, cloud computing, data transfer, case studies, technology advancements, risk management

Abstract

SAP data center migrations are the subject of this paper with special attention to the methods, problems, and opportunities. The migration strategies are planning, data transfer techniques and the application of advanced devices and technology. Siemens, The Coca-Cola Company, and Shell are used as examples to explain how the approach work and the results achieved. Everyday problems like data accuracy and system failure, for instance, are discussed under pertinent solutions and designs and. It also outlines the positive effects of the paper on business such as improved performance and cost effectiveness and goes ahead to describe long terms effects such as scalability and flexibility. Other trends and technologies like Cloud computing, AI, and others are also covered to understand the future of SAP migrations.

References

  1. Ahmad, N. (2021). The Structural Modeling of Significant Factors for Sustainable Cloud Migration. International Journal of Intelligent Engineering & Systems, 14(2). https://www.researchgate.net/profile/Naim-Ahmad/publication/349665505_The_Structural_Modeling_of_Significant_Factors_for_Sustainable_Cloud_Migration/links/603b44df299bf1cc26f7b03a/The-Structural-Modeling-of-Significant-Factors-for-Sustainable-Cloud-Migration.pdf
  2. Balasubramanian, R. Koen Spaan MSc. https://www.compact.nl/pdf/C-2019-1-Luka.pdf
  3. Le, T. (2020). A survey of live virtual machine migration techniques. Computer Science Review, 38, 100304. https://www.sciencedirect.com/science/article/abs/pii/S1574013720304044
  4. Nirek, R. (2021). Enhancing Enterprise Performance: The Benefits and Rising Demand of Deploying SAP HANA on Linux VMs in Azure. North American Journal of Engineering Research, 2(3). http://najer.org/najer/article/view/22/24
  5. Pillai, M. (2021). Successful SAP implementation strategy. https://d1wqtxts1xzle7.cloudfront.net/54889147/Implementation_Strategy-libre.pdf?1509592609=&response-content-disposition=inline%3B+filename%3DSuccessful_SAP_implementation_strategy.pdf&Expires=1725808393&Signature=ge8TZIBgCkxhBwT-JK~SuiFW8VwXyfHwF1aD6Y~m2FkY~cJrYiAFp2bu-4AnFgNTpc975kaEXL9oEJzy1PB5wWmw58Uj-ctgSsQ04Id-CDW4pqB8jsAQUMwpo15f6LT-16cgRQH6M9VLhuH33qKFZzQT5QHDLIWLZJWna6Gg5I5G1yTrDZYge-rBZ7Pc4OEzyQ8cu9IhVOjEFlX~mUgo3RM4qizgqApzFuNDXrQbl58ylcPhaQ60MlYj4flgHegV3KNI9estQLbZlm2wmYtbC~JXdRl7BBGW3FMy~Rxfg6yLmfqoAxNOOuUq~O~MV~7klymk8hzrFbvbJbcdm8bUfQ__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
  6. Rutten, P. (2021). For SAP Database and Cloud Migration, Don’t Go It Alone. Retrieved from https://www.hitachivantara.com/en-us/pdf/white-paper/sap-database-cloud-migration.pdf
  7. Saghar, S. (2021). Benefits of System Integration Using SAP PI/PO. https://www.theseus.fi/bitstream/handle/10024/502819/SyedSaghar_Thesis.pdf?sequence=2&isAllowed=y
  8. Talwani, S., & Singla, J. (2020, March). A comprehensive review of virtual machine migration techniques in cloud computing. In Proceedings of the International Conference on Innovative Computing & Communications (ICICC). http://dx.doi.org/10.2139/ssrn.3564971
  9. Tanjung, V. N., Saputra, M., & Puspitasari, W. (2020). Analysis of Assessment Cycle of Migration Data from OROS to SAP Hana using Activity based Costing Method in Telecommunication Industry. Universitas Telkom, S1 Sistem Informasi, Bandung, 253-260. https://www.scitepress.org/PublishedPapers/2019/99087/99087.pdf
  10. Tiovani, L. P., Puspitasari, W., & Hediyanto, U. Y. K. (2020). Designing System Integration Testing to Test Reduction and Migration Payment Transaction Data at PT Telekomunikasi Indonesia, Tbk. https://www.scitepress.org/PublishedPapers/2019/98657/98657.pdf
  11. Santhosh Palavesh. (2019). The Role of Open Innovation and Crowdsourcing in Generating New Business Ideas and Concepts. International Journal for Research Publication and Seminar, 10(4), 137–147. https://doi.org/10.36676/jrps.v10.i4.1456
  12. Santosh Palavesh. (2021). Developing Business Concepts for Underserved Markets: Identifying and Addressing Unmet Needs in Niche or Emerging Markets. Innovative Research Thoughts, 7(3), 76–89. https://doi.org/10.36676/irt.v7.i3.1437
  13. Palavesh, S. (2021). Co-Creating Business Concepts with Customers: Approaches to the Use of Customers in New Product/Service Development. Integrated Journal for Research in Arts and Humanities, 1(1), 54–66. https://doi.org/10.55544/ijrah.1.1.9
  14.  Santhosh Palavesh. (2021). Business Model Innovation: Strategies for Creating and Capturing Value Through Novel Business Concepts. European Economic Letters (EEL), 11(1). https://doi.org/10.52783/eel.v11i1.1784
  15. Vijaya Venkata Sri Rama Bhaskar, Akhil Mittal, Santosh Palavesh, Krishnateja Shiva, Pradeep Etikani. (2020). Regulating AI in Fintech: Balancing Innovation with Consumer Protection. European Economic Letters (EEL), 10(1). https://doi.org/10.52783/eel.v10i1.1810
  16. Challa, S. S. S. (2020). Assessing the regulatory implications of personalized medicine and the use of biomarkers in drug development and approval. European Chemical Bulletin, 9(4), 134-146.D.O.I10.53555/ecb.v9:i4.17671
  17. EVALUATING THE EFFECTIVENESS OF RISK-BASED APPROACHES IN STREAMLINING THE REGULATORY APPROVAL PROCESS FOR NOVEL THERAPIES. (2021). Journal of Population Therapeutics and Clinical Pharmacology, 28(2), 436-448. https://doi.org/10.53555/jptcp.v28i2.7421
  18. Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5), 380-387.
  19. Challa, S. S. S., Chawda, A. D., Benke, A. P., & Tilala, M. (2020). Evaluating the use of machine learning algorithms in predicting drug-drug interactions and adverse events during the drug development process. NeuroQuantology, 18(12), 176-186. https://doi.org/10.48047/nq.2020.18.12.NQ20252
  20. Ranjit Kumar Gupta, Sagar Shukla, Anaswara Thekkan Rajan, Sneha Aravind, 2021. "Utilizing Splunk for Proactive Issue Resolution in Full Stack Development Projects" ESP Journal of Engineering & Technology Advancements 1(1): 57-64.
  21. Sagar Shukla. (2021). Integrating Data Analytics Platforms with Machine Learning Workflows: Enhancing Predictive Capability and Revenue Growth. International Journal on Recent and Innovation Trends in Computing and Communication, 9(12), 63–74. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11119
  22. Bhavesh Kataria, "Variant of RSA-Multi prime RSA, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.09-11, 2014. Available at https://doi.org/10.32628/ijsrset14113
  23. Sneha Aravind. (2021). Integrating REST APIs in Single Page Applications using Angular and TypeScript. International Journal of Intelligent Systems and Applications in Engineering, 9(2), 81 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6829
  24. Siddhant Benadikar. (2021). Developing a Scalable and Efficient Cloud-Based Framework for Distributed Machine Learning. International Journal of Intelligent Systems and Applications in Engineering, 9(4), 288 –. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6761
  25. Siddhant Benadikar. (2021). Evaluating the Effectiveness of Cloud-Based AI and ML Techniques for Personalized Healthcare and Remote Patient Monitoring. International Journal on Recent and Innovation Trends in Computing and Communication, 9(10), 03–16. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11036
  26. Bhavesh Kataria, "Role of Information Technology in Agriculture : A Review, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.01-03, 2014. Available at : https://doi.org/10.32628/ijsrset141115
  27. Challa, S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of PharmaResearch, 7(5), 380-387.
  28. Dr. Saloni Sharma, & Ritesh Chaturvedi. (2017). Blockchain Technology in Healthcare Billing: Enhancing Transparency and Security. International Journal for Research Publication and Seminar, 10(2), 106–117. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/1475
  29. Saloni Sharma. (2020). AI-Driven Predictive Modelling for Early Disease Detection and Prevention. International Journal on Recent and Innovation Trends in Computing and Communication, 8(12), 27–36. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/11046
  30. Fadnavis, N. S., Patil, G. B., Padyana, U. K., Rai, H. P., & Ogeti, P. (2020). Machine learning applications in climate modeling and weather forecasting. NeuroQuantology, 18(6), 135-145. https://doi.org/10.48047/nq.2020.18.6.NQ20194
  31. Narendra Sharad Fadnavis. (2021). Optimizing Scalability and Performance in Cloud Services: Strategies and Solutions. International Journal on Recent and Innovation Trends in Computing and Communication, 9(2), 14–21. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10889
  32. Patil, G. B., Padyana, U. K., Rai, H. P., Ogeti, P., & Fadnavis, N. S. (2021). Personalized marketing strategies through machine learning: Enhancing customer engagement. Journal of Informatics Education and Research, 1(1), 9. http://jier.org
  33. Bhaskar, V. V. S. R., Etikani, P., Shiva, K., Choppadandi, A., & Dave, A. (2019). Building explainable AI systems with federated learning on the cloud. Journal of Cloud Computing and Artificial Intelligence, 16(1), 1–14.
  34. Vijaya Venkata Sri Rama Bhaskar, Akhil Mittal, Santosh Palavesh, Krishnateja Shiva, Pradeep Etikani. (2020). Regulating AI in Fintech: Balancing Innovation with Consumer Protection. European Economic Letters (EEL), 10(1). https://doi.org/10.52783/eel.v10i1.1810
  35. Dave, A., Etikani, P., Bhaskar, V. V. S. R., & Shiva, K. (2020). Biometric authentication for secure mobile payments. Journal of Mobile Technology and Security, 41(3), 245-259.
  36. Bhavesh Kataria, "The Challenges of Utilizing Information Communication Technologies (ICTs) in Agriculture Extension, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 1, pp.380-384, January-February-2015. Available at : https://doi.org/10.32628/ijsrset1511103
  37. Saoji, R., Nuguri, S., Shiva, K., Etikani, P., & Bhaskar, V. V. S. R. (2021). Adaptive AI-based deep learning models for dynamic control in software-defined networks. International Journal of Electrical and Electronics Engineering (IJEEE), 10(1), 89–100. ISSN (P): 2278–9944; ISSN (E): 2278–9952
  38. Narendra Sharad Fadnavis. (2021). Optimizing Scalability and Performance in Cloud Services: Strategies and Solutions. International Journal on Recent and Innovation Trends in Computing and Communication, 9(2), 14–21. Retrieved from https://www.ijritcc.org/index.php/ijritcc/article/view/10889
  39. Prasad, N., Narukulla, N., Hajari, V. R., Paripati, L., & Shah, J. (2020). AI-driven data governance framework for cloud-based data analytics. Volume 17, (2), 1551-1561.
  40. Big Data Analytics using Machine Learning Techniques on Cloud Platforms. (2019). International Journal of Business Management and Visuals, ISSN: 3006-2705, 2(2), 54-58. https://ijbmv.com/index.php/home/article/view/76
  41. Bhavesh Kataria, "XML Enabling Homogeneous and Platform Independent Data Exchange in Agricultural Information Systems, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 2, pp.129-133, March-April-2015. Available at : https://doi.org/10.32628/ijsrset152239
  42. Shah, J., Narukulla, N., Hajari, V. R., Paripati, L., & Prasad, N. (2021). Scalable machine learning infrastructure on cloud for large-scale data processing. Tuijin Jishu/Journal of Propulsion Technology, 42(2), 45-53.
  43. Narukulla, N., Lopes, J., Hajari, V. R., Prasad, N., & Swamy, H. (2021). Real-time data processing and predictive analytics using cloud-based machine learning. Tuijin Jishu/Journal of Propulsion Technology, 42(4), 91-102
  44. Secure Federated Learning Framework for Distributed Ai Model Training in Cloud Environments. (2019). International Journal of Open Publication and Exploration, ISSN: 3006-2853, 7(1), 31-39. https://ijope.com/index.php/home/article/view/145
  45. Paripati, L., Prasad, N., Shah, J., Narukulla, N., & Hajari, V. R. (2021). Blockchain-enabled data analytics for ensuring data integrity and trust in AI systems. International Journal of Computer Science and Engineering (IJCSE), 10(2), 27–38. ISSN (P): 2278–9960; ISSN (E): 2278–9979.
  46. Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2019). Investigating the use of natural language processing (NLP) techniques in automating the extraction of regulatory requirements from unstructured data sources. Annals of Pharma Research, 7(5),
  47. Challa, S. S. S., Tilala, M., Chawda, A. D., & Benke, A. P. (2021). Navigating regulatory requirements for complex dosage forms: Insights from topical, parenteral, and ophthalmic products. NeuroQuantology, 19(12), 15.
  48. Tilala, M., & Chawda, A. D. (2020). Evaluation of compliance requirements for annual reports in pharmaceutical industries. NeuroQuantology, 18(11), 27.
  49. Ghavate, N. (2018). An Computer Adaptive Testing Using Rule Based. Asian Journal For Convergence In Technology (AJCT) ISSN -2350-1146, 4(I). Retrieved from http://asianssr.org/index.php/ajct/article/view/443
  50. Shanbhag, R. R., Dasi, U., Singla, N., Balasubramanian, R., & Benadikar, S. (2020). Overview of cloud computing in the process control industry. International Journal of Computer Science and Mobile Computing, 9(10), 121-146. https://www.ijcsmc.com
  51. Bhavesh Kataria "Weather-Climate Forecasting System for Early Warning in Crop Protection, International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 5, pp.442-444, September-October-2015. Available at : https://doi.org/10.32628/ijsrset14111
  52. Bhavesh Kataria, Jethva Harikrishna, "Performance Comparison of AODV/DSR On-Demand Routing Protocols for Ad Hoc Networks", International Journal of Scientific Research in Science and Technology, Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 1, Issue 1, pp.20-30, March-April-2015. Available at : https://doi.org/10.32628/ijsrst15117
  53. Benadikar, S. (2021). Developing a scalable and efficient cloud-based framework for distributed machine learning. International Journal of Intelligent Systems and Applications in Engineering, 9(4), 288. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/6761
  54. Shanbhag, R. R., Balasubramanian, R., Benadikar, S., Dasi, U., & Singla, N. (2021). Developing scalable and efficient cloud-based solutions for ecommerce platforms. International Journal of Computer Science and Engineering (IJCSE), 10(2), 39-58.
  55. Tripathi, A. (2020). AWS serverless messaging using SQS. IJIRAE: International Journal of Innovative Research in Advanced Engineering, 7(11), 391-393.
  56. Tripathi, A. (2019). Serverless architecture patterns: Deep dive into event-driven, microservices, and serverless APIs. International Journal of Creative Research Thoughts (IJCRT), 7(3), 234-239. Retrieved from http://www.ijcrt.org
  57. Bhavesh Kataria "Use of Information and Communications Technologies (ICTs) in Crop Production” International Journal of Scientific Research in Science, Engineering and Technology, Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 3, pp.372-375, May-June-2015. Available at : https://doi.org/10.32628/ijsrset151386
  58. Thakkar, D. (2021). Leveraging AI to transform talent acquisition. International Journal of Artificial Intelligence and Machine Learning, 3(3), 7. https://www.ijaiml.com/volume-3-issue-3-paper-1/
  59. Thakkar, D. (2020, December). Reimagining curriculum delivery for personalized learning experiences. International Journal of Education, 2(2), 7. Retrieved from https://iaeme.com/Home/article_id/IJE_02_02_003
  60. Kanchetti, D., Munirathnam, R., & Thakkar, D. (2019). Innovations in workers compensation: XML shredding for external data integration. Journal of Contemporary Scientific Research, 3(8). ISSN (Online) 2209-0142.
  61. Aravind Reddy Nayani, Alok Gupta, Prassanna Selvaraj, Ravi Kumar Singh, & Harsh Vaidya. (2019). Search and Recommendation Procedure with the Help of Artificial Intelligence. International Journal for Research Publication and Seminar, 10(4), 148–166. https://doi.org/10.36676/jrps.v10.i4.1503
  62. Vaidya, H., Nayani, A. R., Gupta, A., Selvaraj, P., & Singh, R. K. (2020). Effectiveness and future trends of cloud computing platforms. Tuijin Jishu/Journal of Propulsion Technology, 41(3). Retrieved from https://www.journal-propulsiontech.com
  63. Alok Gupta. (2021). Reducing Bias in Predictive Models Serving Analytics Users: Novel Approaches and their Implications. International Journal on Recent and Innovation Trends in Computing and Communication, 9(11), 23–30. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/11108
  64. Rinkesh Gajera , "Leveraging Procore for Improved Collaboration and Communication in Multi-Stakeholder Construction Projects", International Journal of Scientific Research in Civil Engineering (IJSRCE), ISSN : 2456-6667, Volume 3, Issue 3, pp.47-51, May-June.2019
  65. Voddi, V. K. R., & Konda, K. R. (2021). Spatial distribution and dynamics of retail stores in New York City. Webology, 18(6). Retrieved from https://www.webology.org/issue.php?volume=18&issue=60
  66. Gudimetla, S. R., et al. (2015). Mastering Azure AD: Advanced techniques for enterprise identity management. Neuroquantology, 13(1), 158-163. https://doi.org/10.48047/nq.2015.13.1.792
  67. Gudimetla, S. R., & et al. (2015). Beyond the barrier: Advanced strategies for firewall implementation and management. NeuroQuantology, 13(4), 558-565. https://doi.org/10.48047/nq.2015.13.4.876

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2021-09-20

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Research Articles

How to Cite

[1]
Sachin Bhatt "A Comprehensive Guide to SAP Data Center Migrations: Techniques and Case Studies" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 5, pp.346-358, September-October-2021. Available at doi : https://doi.org/10.32628/IJSRSET2310630