PROCESSING BUSINESS DATA AND STATISTICS FROM IBM WEBSPHERE COMMERCE
Giermek, Pawel (2012)
Giermek, Pawel
Jyväskylän ammattikorkeakoulu
2012
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2012081413147
https://urn.fi/URN:NBN:fi:amk-2012081413147
Tiivistelmä
The objective of the thesis is to illustrate how business data can be retrieved and modified based on Groovy use. A variety of possibilities to extract and ways to change information required by a customer are presented.
First, the thesis presents simple examples to acquaint the reader with the topic. Tasks and changes made are more advanced and complex with time. To make it simple enough for people not familiar with SQL or WebSphere commerce application, examples are based on previous examples, thus it is only a matter of expanding the sample applications shown on the beginning.
The presented examples are fundamental: if a script is once written within Groovy aid, it can be reused any time it is needed for a similar task. Numerous samples that were listed during implementations prove the usefulness of developed applications.
The results shown are based on an existing application; however, not all presented data is authentic due to confidentiality issues. The conclusions chapter summarizes and proves the legitimacy of the topic: comparing additional examples based on previously shown working applications highlights all benefits for user.
First, the thesis presents simple examples to acquaint the reader with the topic. Tasks and changes made are more advanced and complex with time. To make it simple enough for people not familiar with SQL or WebSphere commerce application, examples are based on previous examples, thus it is only a matter of expanding the sample applications shown on the beginning.
The presented examples are fundamental: if a script is once written within Groovy aid, it can be reused any time it is needed for a similar task. Numerous samples that were listed during implementations prove the usefulness of developed applications.
The results shown are based on an existing application; however, not all presented data is authentic due to confidentiality issues. The conclusions chapter summarizes and proves the legitimacy of the topic: comparing additional examples based on previously shown working applications highlights all benefits for user.