Chander Dhall Microsoft Azure Cosmos DB conf Real world data modeling and performance

The speaker Chander Dhall is the CEO of Cazton and has experience in data modeling and partitioning with Microsoft Azure Cosmos DB. His company Cazton uses 30 patterns for NoSQL databases including Azure Cosmos DB and MongoDB. In this presentation he demonstrates data modeling and partitioning and suggests using problem-specific patterns to optimize request time and query speed. Dhall illustrates the importance of good data modeling by showing examples of real-life problems that arise when designing a database. He notes that by using the right data modeling patterns total request time can be reduced by up to 75-86 and query time and output document size can be improved by 99. For more information visit cazton dot com.,

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