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Testing Spring Data + Spring Boot applications with Arquillian (Part 1)

spring-interview-questions-answers

Spring Data’s mission is to provide a familiar and consistent, Spring-based programming model for data access while still retaining the special traits of the underlying data store. It provides integration with several backend technologies such as JPA, Rest, MongoDB, Neo4J or Redis to cite a few. So if you are using Spring (Boot) then Spring Data is the right choice to deal ...

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End to end BPM (with a splash of DMN)

Red Hat Summit next week is shaping up to be one of the best ever! And if you are a Drools or jBPM enthusiast, you will be busy: another top presentation that we have lined up for you comes from a partnership between Signavio and Red Hat. Duncan Doyle and Tom Debevoise will be driving the show on this one with ...

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A Matter Of Perception And Concept

A Personal Experience Last weekend was a hectic one. I had many things planned for both Saturday and Sunday. Saturday, everything went according to plan. Sunday not so much. After arriving, on time, for my hair appointment, I was sat down (with my glass of water and 3 Lindt chocolates) to discuss the details with my designated stylist. Soon we ...

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The Hardest Part of Microservices: Calling Your Services

You’re probably saying “Wait. You already wrote a blog telling me the hardest part of microservices was my data. So what is the hardest part? That? or Calling your services?” There are lots of hard parts of microservices, actually. The blogosphere/conferencesphere/vendorspehere tends to romanticize microservices but from the technology perspective, we’re building distributed systems. And distributed systems are hard. I ...

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[EBOOK] Top 10 Java Performance Problems

Interested to learn more? Then you should download the relevant ebook here. Most performance issues in Java can be attributed to a handful of root causes. Sure, occasionally there are some bizarre corner cases that came out of the blue and wreaked havoc in an app, but for the most part performance issues in Java are all pretty cookie cutter. ...

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Visual Analytics + Open Source Deep Learning Frameworks

Deep Learning gets more and more traction. It basically focuses on one section of Machine Learning: Artificial Neural Networks. This article explains why Deep Learning is a game changer in analytics, when to use it, and how Visual Analytics allows business analysts to leverage the analytic models built by a (citizen) data scientist. What is Deep Learning and Artificial Neural ...

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Java and Docker: Now and the Future

Sharat Chander‘s blog post Official Docker Image for Oracle Java and the OpenJDK Roadmap for Containers provides a high-level overview of the “Official Docker Image for Oracle Java,” an introduction to Docker and why containers like Docker are desirable, and a peek at things to come for Java on Docker. The post also provides a link to the “Docker image ...

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Apache Spark RDD and Java Streams

A few months ago, I was fortunate enough to participate in a few PoCs (proof-of-concepts) that used Apache Spark. There, I got the chance to use resilient distributed datasets (RDDs for short), transformations, and actions. After a few days, I realized that while Apache Spark and the JDK are very different platforms, there are similarities between RDD transformations and actions, ...

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Agile Cloud-to-Cloud Integration with iPaaS, API Management and Blockchain

Cloud-to-Cloud integration is part of a hybrid integration architecture. It enables to implement quick and agile integration scenarios without the burden of setting up complex VM- or container-based infrastructures. One key use case for cloud-to-cloud integration is innovation using a fail-fast methodology where you realize new ideas quickly. You typically think in days or weeks, not in months. If an ...

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