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Data Driven Products Now!
Dan McKinley discusses how Etsy is using data to validate their ideas and prototypes, turning some into real products.
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Practical Data Synchronization Using CRDTs
Dmitry Ivanov discusses the basic CRDTs implementations in Scala, explaining the advantages of these data structures to solve many synchronization problems as well as their limitations.
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Build to Learn: Rapid Prototyping Methods
Sara Bayless da Costa discusses several prototyping methods helping to learn about product, gather quality feedback, and get the best version of a product out there as quickly as possible.
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Speedup Your Java Apps with Hardware Counters
Sergey Kuksenko discusses how Performance Monitoring Unit works, what Hardware Counters are, which tools have friendship with Java and how to use HWC for speeding up our Java applications.
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Java SE 9: Continuing to Thrive in the Cloud!
Bernard Traversat discusses JVM enhancements addressing cloud deployment requirements such as G1 GC, segmented code cache, contended locking, and density String.
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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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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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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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