Data Augmentation is used to bring data into ADW from external connections.

Data Augmentation is used to bring data into ADW from external connections.

• A. True
• B. False
• C. Only for on-premises data
• D. Not used in FAW

Answer: (A)

Data augmentation in ADW is about bringing external data into the data warehouse so you can analyze it together with your existing ADW data. You connect to external sources—whether on-premises systems or cloud services—using adapters or connectors, and then load that data into ADW or access it via external/virtual tables. This lets you enrich your analytics with information from ERP, CRM, files, or other databases without losing the ability to query everything in one place. That’s why the statement is correct: data augmentation is specifically about pulling in data from outside ADW to use in your analyses. It isn’t limited to on-premises data, and it’s not something restricted to FAW.

Data augmentation in ADW is about bringing external data into the data warehouse so you can analyze it together with your existing ADW data. You connect to external sources—whether on-premises systems or cloud services—using adapters or connectors, and then load that data into ADW or access it via external/virtual tables. This lets you enrich your analytics with information from ERP, CRM, files, or other databases without losing the ability to query everything in one place.

That’s why the statement is correct: data augmentation is specifically about pulling in data from outside ADW to use in your analyses. It isn’t limited to on-premises data, and it’s not something restricted to FAW.