Which approach should you use to bring in additional content from Fusion Applications and extend your prebuilt subject area without performing data transformations?

Which approach should you use to bring in additional content from Fusion Applications and extend your prebuilt subject area without performing data transformations?

• A. Use Data Replication with Data Masking.
• B. Use Data Augmentation to move data and Semantic Model Extension to extend the subject area.
• C. Use only Semantic Model Extension.
• D. Use OLTP export.

Answer: (B)

Bringing in more Fusion Applications content and enlarging your prebuilt subject area without data transformations is achieved by Data Augmentation together with Semantic Model Extension. Data Augmentation moves the additional Fusion Applications data into your analytics environment without altering the source data, preserving its original structure. Semantic Model Extension then extends the subject area to incorporate that data—adding new measures, attributes, and relationships—so you can analyze the new content alongside the existing data. This pairing avoids transforming data and provides a seamless way to grow analytics capabilities. Other options don’t fit because replication with masking focuses on creating masked copies for privacy rather than expanding analytics content; relying on Semantic Model Extension alone doesn’t bring in new data sources, and an OLTP export is a manual movement approach that would require transformations and isn’t integrated into the analytic subject area.

Bringing in more Fusion Applications content and enlarging your prebuilt subject area without data transformations is achieved by Data Augmentation together with Semantic Model Extension. Data Augmentation moves the additional Fusion Applications data into your analytics environment without altering the source data, preserving its original structure. Semantic Model Extension then extends the subject area to incorporate that data—adding new measures, attributes, and relationships—so you can analyze the new content alongside the existing data. This pairing avoids transforming data and provides a seamless way to grow analytics capabilities. Other options don’t fit because replication with masking focuses on creating masked copies for privacy rather than expanding analytics content; relying on Semantic Model Extension alone doesn’t bring in new data sources, and an OLTP export is a manual movement approach that would require transformations and isn’t integrated into the analytic subject area.