An organization recently launched a virtual customer support agent, generating vast amounts of text and speech data. Why should they use a cloud data warehouse to interpret this data?
A.
To natively visualize both types of data using a dashboard in real time
B.
To ingest and analyze structured and unstructured data at scale, in real time
C.
To secure data transmission between cloud and on-premises environments
D.
To transform data from structured to unstructured
This one threw me. I wouldn't associate "unstructured data" with a data warehouse. The phrasing of this one is very confusing. I'm not sold on B being the answer.
Data warehouses assemble data from multiple sources including databases. An enterprise data warehouse is a system used for the analysis and reporting of structured and semi-structured data from multiple sources.
B. Real-time data ingestion and updates. A simple and universal solution for continually ingesting your enterprise data into popular cloud-based data warehouses in real time.
https://www.qlik.com/us/cloud-data-migration/cloud-data-warehouse
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