How does Cloud Datastore handle scalability and performance for large datasets?
- Automatic Sharding
- Manual Partitioning
- Compression Techniques
- Vertical Scaling
Understanding how Cloud Datastore achieves scalability and performance for large datasets is crucial for designing efficient and robust data storage solutions in cloud environments. Knowing the mechanisms involved, such as automatic sharding, helps ensure optimal performance and resource utilization.
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