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Google Cloud Certified Professional Cloud Database Engineer · Google Cloud
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SSD because this is the more highly performant PD type
A. Data is split correctly on nodes if the row-key is well designed.
if you plan to store extensive historical data for a large number of remote-sensing devices and then use the data to generate daily reports, the cost savings for HDD storage might justify the performance tradeoff. On the other hand, if you plan to use the data to display a real-time dashboard, it probably would not make sense to use HDD storage—reads would be much more frequent in this case, and reads that are not scans are much slower with HDD storage.