Titlebook: Microsoft Azure Cosmos DB Revealed; A Multi-Model Databa José Rolando Guay Paz Book 2018 Jos? Rolando Guay Paz 2018 DocumentDB.MongoDB.NoSQ

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Querying an Azure Cosmos DB Database,An integral part of working with any database is the ability to query the data in the database. Fortunately, this very important functionality has been implemented in Azure Cosmos DB in a way that any previous SQL experience is valid and will help you accomplish even the most complex tasks.

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Azure Cosmos DB’s feature set.Presents simple step-by-step iLearn the main features of Azure Cosmos DB and how to use Microsoft’s multi-model database service as a data store for mission-critical applications. The clear examples help in writing your own applications to take advantage of Cosmos DB’s

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Introduction to Azure Cosmos DB,ntil the early 2000s that they gained a lot of popularity with companies like Facebook and Amazon implementing them and products such as MongoDB, Cassandra, and Redis becoming the choices for many developers.

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Book 2018The clear examples help in writing your own applications to take advantage of Cosmos DB’s multi-model, globally distributed, elastic database. Simple step-by-step instructions show how to resolve common and uncommon scenarios involving Azure Cosmos DB, and scenarios such as delivering extremely low

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https://doi.org/10.1007/978-0-387-74733-0mmarizes current methodology for the morphological (e.g., volume, thickness) and compositional imaging of cartilage using quantitative MR as well as for semiquantitative scoring of cartilage disease. The chapter explains the relevance of MR in identifying disease status, in monitoring disease progre