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The white paper "Making the Shift from Relational to NoSQL" is no longer available on Infoq.com; However we invite you to explore the related content below.

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High-Performance Data Architectures for the Internet of Things

This white paper discusses the challenges caused by typical approaches to IoT data architecture and its associated resource requirements. You will also learn how the GridGain in-memory computing platform can simplify this architecture and reduce your team’s learning curve.

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Looking for inspiration for your next data-driven app idea? Meet Qlik Playground.

Find inspiration for application ideas with existing open source projects—such as tracking your adult beverage preference or navigating your hotel options within large cities. Find the code, make it your own, then become part of the showcase too!

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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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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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Beyond Data Grids: The Advantages of In-Memory Platforms

This white paper provides an overview of in-memory computing technology with a focus on in-memory data grids. It discusses the advantages of in-memory data grids and introduces the GridGain in-memory computing platform. Finally, it presents a deep dive on the capabilities of the GridGain solution.

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Deploy, operate, and scale a MongoDB database in the cloud with just a few clicks.

MongoDB Atlas provides you with the performance you need for your most demanding workloads. When your data grows or your application performance demands increase, the service allows you to scale out your deployment with an automated sharding process that ensures zero application downtime.

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