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Device Management for OSGi IoT Gateways
Luca Dazi surveys the current solutions for remotely managing Java/OSGi IoT gateways over IoT protocols like MQTT and CoAP: Eclipse Kura, Lightweight M2M (LWM2M) protocol, and Eclipse Leshan.
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End-to-end IoT Solutions with Java and Eclipse IoT Technology
Benjamin Cabé provides concrete examples of how to build end-to-end solutions with the Eclipse IoT Java stack and projects such as Paho, Kura, Californium and Concierge.
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Analyzing Social Networks with F#
Evelina Gabasova explains how to run a social network analysis on Twitter and how to use data science tools to find out more about followers.
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Spring Integration Done Boot-ifully
Glenn Renfro discusses how to create an application with a scheduler that will retrieve data from a web service, cleanse and emit the data via MQTT, by utilizing Spring Boot and Spring Integration.
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Server-side JavaScript with Nashorn and Spring
Topher Bullock,Will Tran discuss how to overcome the challenge in the mobile market to create rich and highly contextualized user experiences while leveraging the utility of existing systems.
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Netflix Built Its Own Monitoring System - and Why You Probably Shouldn't
Roy Rapoport shares some of the lessons Netflix learned building a monitoring system, the challenges, pitfalls and opportunities encountered along the way.
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CheckCell: Data Debugging for Spreadsheets
The presenters introduce CheckCell, an Excel add-on used to identify cells that have an unusually high impact on the spreadsheet’s computations.
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Write Your Own Compiler in 24 Hours
Phillip Trelford explains how compilers work with live code samples, primarily in F# and C#, covering language design and parsing, all-the-way through to emitting code.
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Cluster Management at Google
John Wilkes shares lessons learned managing clusters at the scale of Google.
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Swift - Under the Hood
Alex Blewitt introduces the history behind Swift, why it was created, how it differs from Objective-C and how Swift is compiled and executed under the covers.
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Efficient Data Storage for Analytics with Parquet 2.0
Julien Le Dem discusses the advantages of a columnar data layout, specifically the features and design choices Apache Parquet uses to achieve goals of interoperability, space and query efficiency.
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Using a Graph Database for JVM Heap Analysis
James Richardson, Nat Pryce discuss some of the challenges faced using Neo4J for interactive analysis of large data imports (80K nodes, 150k relationships) and how they overcame them.