This page demonstrates the benefits of partitioning Azure Cosmos DB for improved performance and scalability.
The partitioning strategy divides a large dataset into smaller, manageable subsets based on specific criteria. This allows the database to efficiently process only the relevant partitions, reducing query times and overall operations.
Key benefits include: increased throughput, reduced latency, and simplified data management.
The partitioning process automatically creates a hierarchical structure of data. This approach allows for a flexible and adaptable solution, tailored to the specific application’s needs.
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