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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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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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Tips, tricks and tools for creating your own data-driven app

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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How to Boost Database Development Productivity on Linux, Docker, and Kubernetes with Microsoft SQL Server 2017

Watch this on-demand presentation to learn how defining the database dependency as another component of the application architecture creates a seamless process for moving data and database binaries through development, test, and production environments.

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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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Modernize your Enterprise Linux Data with SQL Server 2017

In this technical white paper, you'll learn how - in addition to providing now-standard features like advanced analytics and machine intelligence - SQL Server 2017 provides industry-leading security as well as interoperability with open-source applications and tools.

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Enabling Fraud Prevention and High-Frequency Trading with In-Memory Computing

Large financial institutions need to be able to perform analytics on large volumes of data in real time to ensure a good user experience. Learn how in-memory computing platforms can help meet these challenges while enabling: High-Frequency Trading, Fraud Prevention, Real-Time Regulatory Compliance.

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