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The white paper "Patterns and Use Cases for In-Memory Data Grids" is no longer available on Infoq.com; However we invite you to explore the related content below.

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Making Service-Oriented Architecture Serve Data Applications

Bloor Group CEO Eric Kavanagh chatted with David King, CEO and founder of Exaptive recently. Their discussion looked at the ways in which service-oriented architecture (SOA) has and has not fulfilled it's promise, especially as it applies to working with data. Take a listen or read the transcript.

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Verticles, EventBus, Reactive systems from Red Hat Developers. Download Vert.x Cheat Sheet now.

Applications using Eclipse Vert.x are fast, responsive, resilient and elastic. They are event driven, non blocking, and can run on top of the JVM while offering many language choices. This cheat sheet provides step by step details to let you create your apps the way you want to.

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Common Misconceptions about Locking in PostgreSQL

Do you understand locking in PostgreSQL? Robert M. Wysocki has come across quite a few people who don't and in this article, he looks at some of the myths that exist around the subject.

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How to Create and Consume your First Predictive Model

Predictive modeling is a powerful way to add intelligence to your application. Incorporating predictive analytics involves two major phases: model training and model operationalization. In this tutorial, learn how to create a predictive model in R and operationalize it with SQL Server 2016.

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Survey Results: The State of Database DevOps

Redgate surveyed over 1000 SQL Server database professionals to find out how many of them had adopted, or were planning to adopt, DevOps practices in their organization and how many of them had applied the same principles to their databases. Download the full report to learn more.

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A Data Application to Foretell the Next Silicon Valley

Can we predict what the next hub of tech entrepreneurship will be? Could we pinpoint where the next real estate boom will be and invest there? Matt Coatney uses open data, python, and d3.js to create a data-rich end-user application to answer some of these questions.

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