InfoQ Homepage Presentations
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Open Source Swift Under the Hood
Alex Blewitt talks about Swift and looks at the open source project, how applications and libraries can be built, the differences between the different builds and how Swift works under the hood.
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Fake it Until you Make it
Dom Davis takes a look at the Impostor Syndrome, discussing how and why it affects developers of all sizes.
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Domain Architecture Isomorphism: How Spotlight Inverted Conway's Law
Dylan Beattie discusses the challenges faced restructuring Spotlight so their organization aligns with the natural domain boundaries of their business.
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Stream Processing with Apache Flink
Robert Metzger provides an overview of the Apache Flink internals and its streaming-first philosophy, as well as the programming APIs.
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The Case for Bringing Swift to the Server
Patrick Bohrer and Chris Bailey present a preview of IBM latest cloud deployment configurations, Swift package-based cloud services, tools integration, and their plan to bring Swift to the server.
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Artificial Intelligence that Plays Atari Video Games: How Did Deep Mind Do It?
Kristjan Korjus discusses deep learning, reinforcement learning and their combination called deep Q-Network.
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Quality Within - The Scrum Way
Owais Zahid talks about establishing quality requirements for products, including quality aspects in the definition of Done, and communicating goals with the development team.
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Git Journey from Mars to Neon
Matthias Sohn presents the Git features that are implemented in Eclipse Neon including git-flow commands, support for attributes, hooks and filters, versioning large binary files and others.
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Docker, Vagrant and Kubernetes Walk into an Eclipse'd Bar
Max Rydahl Andersen explains how one can use Docker and Vagrant today with Eclipse to improve the local development experience and then cover how it all came together in the cloud and container space.
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Flying Faster with Heron
Karthik Ramasamy presents the design and implementation of Heron, the new de facto stream data processing engine at Twitter. Ramasamy shares Twitter’s experience of running Heron in production.
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Rethinking Streaming Analytics for Scale
Helena Edelson addresses new architectures emerging for large scale streaming analytics based on Spark, Mesos, Akka, Cassandra and Kafka (SMACK) or Apache Flink or GearPump.
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Connecting Stream Processors to Databases
Gian Merlino discusses stream processors and a common use case - keeping databases up to date-, the challenges they present, with examples from Kafka, Storm, Samza, Druid, and others.
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