Reporting of data load errors : Case: IBM WebSphere Commerce
Varcok, Tomas (2016)
Jyväskylän ammattikorkeakoulu
2016
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2016122121409
https://urn.fi/URN:NBN:fi:amk-2016122121409
Tiivistelmä
The assigner Solteq Oyj has been struggling with the process of handling errors occurring during the data loading process into IBM WebSphere Commerce web store solution. This process has required a great deal of manual work on a daily basis.
Therefore, it was proposed to try to identify the possibilities of improving this process. At first, studying and understanding the IBM WebSphere Commerce Data Load utility was needed in order to be able to identify the available options. After evaluation and decision-making process it was possible to continue to planning, designing and developing the improvements.
The main functionality was implemented in the form of a module connected to the Data Load utility. Programming languages Java and Python were utilized during the implementation phase.
The thesis resulted in a major automation possibility. Based on the provided configuration, the module is to a certain extent capable of performing all the previous manual steps such as information gathering, analysis and forming understandable and self-explanatory error messages. The employees can then focus on different tasks, which offers the possibility of saving time and reducing the costs to a considerable extent.
The solution for a real problem was provided, and the results are very beneficial for the company. Exploring and understanding the Data Load utility resulted in gaining a great deal of useful knowledge for future use.
Therefore, it was proposed to try to identify the possibilities of improving this process. At first, studying and understanding the IBM WebSphere Commerce Data Load utility was needed in order to be able to identify the available options. After evaluation and decision-making process it was possible to continue to planning, designing and developing the improvements.
The main functionality was implemented in the form of a module connected to the Data Load utility. Programming languages Java and Python were utilized during the implementation phase.
The thesis resulted in a major automation possibility. Based on the provided configuration, the module is to a certain extent capable of performing all the previous manual steps such as information gathering, analysis and forming understandable and self-explanatory error messages. The employees can then focus on different tasks, which offers the possibility of saving time and reducing the costs to a considerable extent.
The solution for a real problem was provided, and the results are very beneficial for the company. Exploring and understanding the Data Load utility resulted in gaining a great deal of useful knowledge for future use.