Difference between data Augmentation and semantic model extension in FAW

Question

I am learning FAW and  have some doubts around data augmentation and semantic model extension. As per my understanding data augmentation is used to bring additional attributes/DFF from existing subject area but we can not create new subject areas.

in Sematic model extension, we can bring the data from any source but it always use the ADW data and we can create new subject areas and later used for analytics purpose with existing one.

Kindly share your views and let me know if above understanding is correct or not.

Regards,

Ankur

Ankur Jain--Oracle · Answer

Hi Abhishek,

Thanks for your reply. I will refer the videos and will get back to you if there are any further questions.

Regards,

Ankur

Abhishek Bajpai - CEAL Team-Oracle · Answer

Semantic Model is only for data modeling (RPD) i.e. metadata layer on which reporting runs .

You can refer to our extensibility case study

https://community.oracle.com/products/oracleanalytics/discussion/19585/fusion-analytics-extensibility-case-study-semantic-model-part-3-of-4/p1?new=1