Google Professional Data Engineer

Explanation

Cloud Bigtable is designed for large-scale, high-throughput workloads and is optimized for storing massive amounts of data. The recommended minimum amount of stored data for Cloud Bigtable is 1 TB.

Key Points:

• 1 TB minimum: Cloud Bigtable is optimized for datasets of 1 TB or larger
• Performance optimization: Smaller datasets may not fully utilize Bigtable's distributed architecture and may experience suboptimal performance
• Cost efficiency: For datasets smaller than 1 TB, other Google Cloud storage options like Cloud SQL, Firestore, or Cloud Spanner might be more cost-effective
• Use case alignment: Bigtable is ideal for applications requiring low-latency access to large amounts of structured data, such as time-series data, IoT data, or financial data

For datasets smaller than 1 TB, consider alternative storage solutions that better match the scale and performance requirements of your application.