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A research institution is analyzing satellite imagery to detect changes in land use over time. They have petabytes of image data and need to run custom machine learning models on these images. They require a highly scalable and cost-effective storage solution that can integrate seamlessly with AI/ML services for processing large files. Which Google Cloud storage product should they choose?
- ACloud SQL
- BCloud Storage
- CCloud Spanner
- DCloud Bigtable
Show answer & explanationAnswer & explanation
Correct answer: B. Cloud Storage
Cloud Storage is an object storage service that is highly scalable and cost-effective for storing petabytes of unstructured data like images, videos, and large files. It integrates well with Google Cloud's AI/ML services, making it an ideal choice for this scenario.
Why the other options are wrong
- A. Cloud SQL is a relational database and not suitable for storing petabytes of unstructured image data.
- C. Cloud Spanner is a globally distributed relational database, not designed for cost-effective storage of unstructured large files.
- D. Cloud Bigtable is a wide-column NoSQL database, optimized for high-throughput, low-latency access to large amounts of single-key data, not large image files.
Cloud Storage
A highly scalable, durable, and cost-effective object storage service for unstructured data on Google Cloud.
- Stores any type of file (images, videos, documents).
- Offers different storage classes for cost optimization.
- Integrates with other Google Cloud services, including AI/ML.
Memory trick: Cloud Storage is like a giant, flexible locker for all your data.