InfoQ Homepage Conferences Content on InfoQ
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Hunting Criminals with Hybrid Analytics
David Talby demos using Python libraries to build a ML model for fraud detection, scaling it up to billions of events using Spark, and what it took to make the system perform and ready for production.
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Acceptance Testing for Continuous Delivery
Dave Farley discusses using acceptance testing to work quickly and effectively, building functional coverage for complex enterprise-scale systems, and managing and maintaining those tests.
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How to Win Hearts and Minds
Chris Young and Kate Gray talk about applying methods used in political campaigns to the workplace to achieve goals and to influence and change a situation for the better.
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CD at LMAX: Testing into Production and Back Again
Sam Adams talks about testing at LMAX Exchange, extending functional tests into live monitoring of production through isolation, and moving fast through incremental delivery, quality and automation.
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Resilient Predictive Data Pipelines
Sid Anand discusses how Agari is applying big data best practices to the problem of securing its customers from email-born threats, presenting a system that leverages big data in the cloud.
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The State of the Art
Richard Astbury demonstrates three new programming languages and discusses how they will affect the future direction of computer programming.
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The State of Docker and Vagrant Tooling in Eclipse
Roland Grunberg and Jeff Johnston present the current status and future plans for Eclipse Docker Tooling, including some demos.
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An Intelligence Agency in Transition: Succeeding in the Open
Chris Rasmussen discusses NGA's open source strategy, how contributing to open source is changing government partnerships, and the agency's cultural pivot toward a more unclassified future.
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Big-Data Analytics Misconceptions
Irad Ben-Gal discusses Big Data analytics misconceptions, presenting a technology predicting consumer behavior patterns that can be translated into wins, revenue gains, and localized assortments.
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Streaming Auto-scaling in Google Cloud Dataflow
Manuel Fahndrich describes how they tackled one particular resource allocation aspect of Google Cloud Dataflow pipelines - horizontal scaling of worker pools as a function of pipeline input rate.
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Project Jigsaw in JDK 9: Modularity Comes To Java
Simon Ritter looks at the fundamentals of how modularity in Java works, explaining the impact project Jigsaw has on writing apps, and how encapsulation will change in JDK 9.
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Microservices for a Streaming World
Ben Stopford discusses using stream processing tools for real-time business apps, handling infinite streams, leveraging high throughput, deploying dynamic, fault-tolerant, and streaming services.