CLOUD-DIGITAL-LEADER · Question #307
An organization has created a medical fitness app and wants to store a very large amount of data about exercise times, activity, and calories burned for later analysis. Which data management…
The correct answer is B. Data warehouse. A data warehouse is optimized for storing and querying large volumes of structured data for analytics and reporting. Fitness metrics like exercise times, activity, and calories burned are structured, time-series data that benefit from a warehouse's analytical query capabilities…
Question
An organization has created a medical fitness app and wants to store a very large amount of data about exercise times, activity, and calories burned for later analysis. Which data management solution should the organization use?
Options
- AData lake
- BData warehouse
- CData field
- DDatabase
How the community answered
(28 responses)- B93% (26)
- C4% (1)
- D4% (1)
Explanation
A data warehouse is optimized for storing and querying large volumes of structured data for analytics and reporting. Fitness metrics like exercise times, activity, and calories burned are structured, time-series data that benefit from a warehouse's analytical query capabilities - BigQuery is Google Cloud's data warehouse product. A data lake (A) is better suited for storing raw, unstructured, or semi-structured data before it is processed. A standard database (D) is optimized for transactional (OLTP) workloads, not large-scale analytical queries. 'Data field' (C) is not a recognized data management solution.
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