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Develop a robust Table API using Python and Azure Cosmos DB. Leverage the power of NoSQL with Azure's scalable database solution. Manage JSON data efficiently, perform CRUD operations, and optimize performance with partitioning and indexing.
This document outlines the process of integrating Azure Table, a highly available NoSQL service, into a .NET Core application for building scalable solutions.
This article will provide a short introduction to Database Systems and Azure Cosmos DB Table API with a code sample.
The table is made up of one or more partitions. Partition Key and Row Key are suitable to optimize your solution. The account name, table name, and partitionkKey together identify the partition within the same storage service where your table service stores the entity.
Cosmos DB is a globally distributed multi-model database. Using the API, applications running on Azure Table storage can take advantage of secondary indexes, turnkey global distribution, dedicated throughput, and single digit millisecond latency with 99.99% comprehensive SLAs.
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