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Data modeling and schema design for Azure Cosmos DB
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Facilitate migration from RDBMS to Azure Cosmos DB through denormalization to leverage the scalability, flexibility, and easy evolution of schemas for Azure Cosmos DB. In this session, we will demonstrate how data modeling helps harness the power of Azure Cosmos DB, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise. The Hackolade data modeling tool also supports forward- and reverse-engineering use cases with the Azure Cosmos DB Core (SQL) API, API for MongoDB, and Gremlin API.
Technical documentation:
#AzureCosmosDB #database #NoSQL
Technical documentation:
#AzureCosmosDB #database #NoSQL
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