InfoQ Homepage Programming Content on InfoQ
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The Improviser's Code: Engineering Your Best Self
Ted DesMaisons and Lisa Rowland talk about the tools and mindset of improvisation so one can rewire his own circuitry and open up new capabilities in the way he interacts with work, the world etc.
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Java Puzzlers NG S02: down the Rabbit Hole
Baruch Sadogursky and Viktor Gamov talk about Java puzzlers - streams, lambdas, monads, Optionals and CompletableFutures.
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The Cuddly Throwable Application Server
Holly Cummins presents a getting-started-guide to the Internet of Things. What’s needed? How much does it cost? What’s the best way of making an embeddable device talk to the internet?
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Machine Learning and End-to-End Data Analysis Processes in Spark Using Python and R
Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.
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Machine Learning Your Way to Smarter API Error Responses
Steven Cooper discusses using machine learning to understand malformed API requests to not only respond with a best fit response, but capture the user errors for future responses.
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Autonomous Operations: Microservices, ML and AI
Rob Harrop discusses the increasing automated field of operations and what the future might hold when machine learning and AI techniques are brought to bear on the problem of systems operations.
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Hypermedia Myths and Misconceptions
Glenn Block discusses the truth and myth beyond some beliefs: the web was built for hypermedia, there is no REST without hypermedia, hypermedia is the magic cure for all API ills, etc.
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IoT in the Cloud: Build & Unleash the Value in Your Renewable Energy System
Mark Heckler introduces the IoT & Cloud concepts and demonstrates how one necessitates the other.
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I Can't Believe It's Not a Queue: Using Kafka with Spring
Joe Kutner talks about Kafka and where it fits in a Spring app and how to make it do things message queues simply can't.
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Streaming Live Data and the Hadoop Ecosystem
Oleg Zhurakousky discusses the Hadoop ecosystem – Hadoop, HDFS, Yarn-, and how projects such as Hive, Atlas, NiFi interact and integrate to support the variety of data used for analytics.
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Big Fish, Little Fish, Cardboard Box: A Tale of Acquisition, Adjustment and Acceptance
Paula Kennedy talks about the initial fears of acquisition and cultural change made in a company when it is acquired by a bigger-fish company.
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Reactive Streams, j.u.concurrent, & beyond!
Konrad Malawski explains what the word Stream means, then looks at how its protocol works and how one might use it in the real world showing examples using existing implementations.
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