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The white paper "Web Scalability with NoSQL" is no longer available on Infoq.com; However we invite you to explore the related content below.

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Migrating MongoDB Apps to Azure Cosmos DB

Learn how easy it is to migrate your existing MongoDB applications to Cosmos DB by using the MongoDB API. You will find out about the tools used in the process, see the code that leverages Cosmos DB, and learn about techniques for working around the differences between the two products.

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Database DevOps: The Definitive Guide to Solving Database Deployment Problems

This whitepaper explores what Database Lifecycle Management (DLM) means within ALM, the important questions to consider for a strong data management strategy, and how Red Gate tools for SQL Server provide support for the continuous delivery of databases within DLM.

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Developing an Intelligent Analytics App with PostgreSQL

Azure Database for PostgreSQL brings together the community edition database engine and capabilities of a fully managed service. Tune in to see in action how easy it is to create new experiences like adding Cognitive Services to your apps by virtue of being on Azure.

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Using Azure CosmosDB, Cognitive Services, and Functions to Build a Personalized, Serverless Application

This white paper takes a developer-centric look at how Azure Cosmos DB, coupled with Microsoft Cognitive Services and Azure Functions, helped ContosoAir build a richer, real-time personalized experience for customers, and a more intelligent and responsive globally distributed serverless application.

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Microservice Databases: Migrating from Relational Monolith to Distributed Data (By O'Reilly)

Learning how to deal with your monolithic relational databases in a microservices structure is key to keeping pace in a quickly changing workplace. Author Edson Yanaga takes you through nine different strategies for integrating data from your monolithic application to a microservice architecture.

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Deep Learning and the AI Revolution: Read the 4-Part Article Series

This 4-part article series explores the history of AI, the future of machine learning and deep learning, and the role database selection plays in successfully applying deep learning to business problems.

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