Data Integration Techniques for Cross-Platform Analytics

Authors

  • Sai Krishna Shiramshetty  Independent Researcher, USA

DOI:

https://doi.org/10.32628/CSEIT2064139

Keywords:

Integration of data, Cross Platform Analysis, Data Extraction, Application Programming Interface Integration, Real-time data consumption

Abstract

This paper highlights various data integration techniques that I applied when implementing cross Platform analysis including ETL integration techniques, API integration and real-time integration techniques. This looks at examples from Netflix, Amazon and Uber how these enable organisations to aggregate information from various sources for decisions, customisation and business operations. The consequence of concerning working discussed in this paper is an evaluation of the potentials of effective data integration and presenting it as a crucial factor towards the realization of competitiveness and innovation.

References

  1. Agrawal, D., Chawla, S., Contreras-Rojas, B., Elmagarmid, A., Idris, Y., Kaoudi, Z., ... & Troudi, A. (2018). Rheem: enabling cross-platform data processing: may the big data be with you!. Proceedings of the VLDB Endowment, 11(11), 1414-1427. https://doi.org/10.14778/3236187.3236195
  2. Banović, V., & Sorić, I. (2019, May). General solution framework for management and monitoring of cross-platform data processes. In 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp. 1288-1292). IEEE. https://doi.org/10.23919/MIPRO.2019.8757065
  3. Biswas, S., Sharma, L. K., Ranjan, R., & Banerjee, J. S. (2020). Go-COVID: an interactive cross-platform based dashboard for real-time tracking of COVID-19 using data analytics. J Mechanics Continua Math Sci, 15, 1-15. https://d1wqtxts1xzle7.cloudfront.net/63740269/COVID-19_JMCMS_JSB_June_202020200625-3976-1g3mm8u-libre.pdf?1593159465=&response-content-disposition=inline%3B+filename%3DGO_COVID_An_Interactive_Cross_Platform_B.pdf&Expires=1731224827&Signature=SV2gC7C5K9jkGwoqVcxnHM86y-j-EBaPsbvLk2Aj8gg4CEa3d7lsmyxrncYW123t4aD0KGag-mI90vXkAmjl~7rDvMJ4II1d82ltOXAC56BQJqi7HCjzOdPqcHzcvAvN3RNvRBEslwZ503RQ0SYFNTFNiyqJ1ZrEVmKi-jCJC3jci1ff0j~HNJznwWfobSL0hVTJIkfo8XfAkDbaYNTctc5L7O0zzcv-8l2Msf3s08PyYyJOdRBt6wGAFg73I32azUkxxLoBXZcniIiBb0oRoxFH71RxUSNQCYQhYAWCPPZRg603jJpXY18lH4jhALYRjF-y1YDYCBlSaIq~L5OWew__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
  4. Camp, B., Mandivarapu, J. K., Ramamurthy, N., Wingo, J., Bourgeois, A. G., Cao, X., & Sunderraman, R. (2018). A new cross-platform architecture for epi-info software suite. BMC bioinformatics, 19, 1-8. https://doi.org/10.1186/s12859-018-2334-8
  5. Chaturvedi, K., & Kolbe, T. H. (2019). Towards establishing cross-platform interoperability for sensors in smart cities. Sensors, 19(3), 562. https://doi.org/10.3390/s19030562
  6. Kaoudi, Z., & Quiané-Ruiz, J. A. (2018, April). Cross-platform data processing: use cases and challenges. In 2018 IEEE 34th International Conference on Data Engineering (ICDE) (pp. 1723-1726). IEEE. https://doi.org/10.1109/ICDE.2018.00223
  7. Majchrzak, T., & Grønli, T. M. (2017). Comprehensive analysis of innovative cross-platform app development frameworks. http://hdl.handle.net/10125/41909
  8. Mangaroska, K., Vesin, B., & Giannakos, M. (2019, March). Cross-platform analytics: A step towards personalization and adaptation in education. In Proceedings of the 9th international conference on learning analytics & knowledge (pp. 71-75). https://doi.org/10.1145/3303772.3303825
  9. Möller, S., Prescott, S. W., Wirzenius, L., Reinholdtsen, P., Chapman, B., Prins, P., ... & Crusoe, M. R. (2017). Robust cross-platform workflows: how technical and scientific communities collaborate to develop, test and share best practices for data analysis. Data Science and Engineering, 2(3), 232-244. https://doi.org/10.1007/s41019-017-0050-4
  10. Oliveira, F., Suneja, S., Nadgowda, S., Nagpurkar, P., & Isci, C. (2017, December). Opvis: extensible, cross-platform operational visibility and analytics for cloud. In Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference: Industrial Track (pp. 43-49). https://doi.org/10.1145/3154448.3154455
  11. Shah, K., Sinha, H., & Mishra, P. (2019, March). Analysis of cross-platform mobile app development tools. In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT) (pp. 1-7). IEEE. https://doi.org/10.1109/I2CT45611.2019.9033872
  12. Zelenkauskaite, A. (2017). Remediation, convergence, and big data: Conceptual limits of cross-platform social media. Convergence, 23(5), 512-527. https://doi.org/10.1177/1354856516631519
  13. Zhang, S., Shao, J., Yu, D., Qiu, X., & Zhang, J. (2020). MatchMixeR: a cross-platform normalization method for gene expression data integration. Bioinformatics, 36(8), 2486-2491. https://doi.org/10.1093/bioinformatics/btz974

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

Downloads

Published

2020-07-20

Issue

Volume 6, Issue 4, July-August-2020

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Sai Krishna Shiramshetty, " Data Integration Techniques for Cross-Platform Analytics" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 6, Issue 4, pp.593-599, July-August-2020. Available at doi : https://doi.org/10.32628/CSEIT2064139