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Hello Gurpreet,
The storage location in which items are saved is determined by the value of their partition keys. That said, items with similar partition keys are grouped together. Each partition can deliver a limited amount of read/write capacity, hence, a table with low cardinality (small partition numbers) is more likely to cause a “hot partition” — that is, few partitions receiving a greater number of requests than other partitions. Having more distinct partition key values has a higher chance of spreading out requests evenly across a partition space.
Let me know if this answers your question.
Regards,
Carlo @ Tutorials Dojo
