InfoQ Homepage Presentations
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Keynote: 10 Years of Kanban
In his keynote, David J. Anderson talks about what we've learned in 10 years of Kanban and shares a vision for the future direction enabling Enterprise Services Planning.
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Customer Analytics on Hadoop
Bob Kelly presents case studies on how Platfora uses Hadoop to do analytics for several of their customers.
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Unleash the Power of HBase Shell
Jayesh Thakrar shows what can be done with irb, how to exploit JRuby-Java integration, and demonstrates how the Shell can be used in Hadoop streaming to perform complex and large volume batch jobs.
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Dashboarding: The Developers’ Role in Data Analysis
Seth Juarez shares insight on how to create applications that use dashboards to drive value, convert raw data into answers, and simplify business processes.
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Pre-release Kinect for Windows
William Fink demos a pre-release Kinect for Windows, showing its new features and capabilities.
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How to Get Groovy with Java 8
Peter Ledbrook discusses the impact of the Java 8 language changes on Groovy applications and if Groovy still provides an edge in terms of developer productivity.
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Experiences Using Grails in a Microservice Architecture
Jeff Beck describes how Grails fits into a larger polyglot architecture and goes through his team's experiences building and maintaining these micro services.
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Android and Groovy, a Winning Pair?
Cedric Champeau tries to answer the question: "Android developers are used to develop applications in Java, so why Groovy, a JVM language, wouldn't be usable for Android development too?"
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My Three Ex’s: A Data Science Approach for Applied Machine Learning
Daniel Tunkelang focuses on the data science mindset for successfully applying machine learning to solve problems: express, explain, experiment.
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Lean Entrepreneur in the Enterprise
Brant Cooper shares the secrets to a successful lean startup culture within the enterprise by addressing the killers of disruptive innovation.
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Samza in LinkedIn: How LinkedIn Processes Billions of Events Everyday in Real-time
Neha Narkhede of Kafka fame shares the experience of building LinkedIn's powerful and efficient data pipeline infrastructure around Apache Kafka and Samza to process billions of events every day.
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Mantis: Netflix's Event Stream Processing System
The authors discuss Netflix's new stream processing system that supports a reactive programming model, allows auto scaling, and is capable of processing millions of messages per second.
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