Tracking ETL Data Load Management Using JIRA: A Comprehensive Approach
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


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Informative Article | Science and Technology | India | Volume 7 Issue 4, April 2018 | Popularity: 4.7 / 10


     

Tracking ETL Data Load Management Using JIRA: A Comprehensive Approach

Pankaj Dureja


Abstract: This paper looks at how you can use JIRA for managing and improving ETL (Extract, Transform, Load) data loads. Through this, JIRA can be inserted into the ETL process, providing project management benefits that include project streamlining, task tracing, and team member collaboration. The findings emphasize supporting information and compute needs, the benefits, the possibility of adaptation to new use cases, and the impact of using JIRA on ETL data loads. It summarizes with a discussion on limitations and future work to use JIRA to manage ETL processes.


Keywords: JIRA, ETL, Data Loads, Project Management, Task Tracking, Story, Bug, Epic, Collaboration, Data Integration


Edition: Volume 7 Issue 4, April 2018


Pages: 1787 - 1789


DOI: https://www.doi.org/10.21275/SR24615145303



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Pankaj Dureja, "Tracking ETL Data Load Management Using JIRA: A Comprehensive Approach", International Journal of Science and Research (IJSR), Volume 7 Issue 4, April 2018, pp. 1787-1789, https://www.ijsr.net/getabstract.php?paperid=SR24615145303, DOI: https://www.doi.org/10.21275/SR24615145303