InfoQ Homepage Conferences Content on InfoQ
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NetApp Case Study
Kumar Palaniapan and Scott Fleming present how NetApp deals with big data using Hadoop, HBase, Flume, and Solr, collecting and analyzing TBs of log data with Think Big Analytics.
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Cloud 2017: Cloud Architectures in 5 Years
Andrew Phillips, Mark Holdsworth, Martijn Verburg, Patrick Debois, and Richard Davies review the evolution of cloud computing so far and consider further developments for the next 5 years.
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Mobile, HTML5 and the Cross-platform Promise
Maximiliano Firtman discusses the status of HTML5 and its browser support, introducing cross-platform app creation for the store, including hybrid apps with PhoneGap.
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Building a Hybrid Cloud at Canadian Pacific
Stuart Charlton presents Canadian Pacific’s strategy for a modern IT: adopting hybrid cloud, introducing Agile/Lean development, automating everything, distributed data systems, RESTful integration.
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Hadoop and Cassandra, Sitting in a Tree ...
Jake Luciani introduces Brisk, a Hadoop and Hive distribution using Cassandra for core services and storage, presenting the benefits of running Hadoop in a peer-to-peer masterless architecture.
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Anomaly Detection, Fault Tolerance and Anticipation Patterns
John Allspaw discusses fault tolerance, anomaly detection and anticipation patterns helpful to create highly available and resilient systems.
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Dealing with Information Overload and Improving Effectiveness
Scott Hanselman advices on dealing with information overload: audit and sort info sources, schedule work sprints, turn off distractions, triaging the inbox, having a personal toolbox.
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Ozma: Extending Scala with Oz Concurrency
Peter Van Roy discusses solving concurrency issues with deterministic concurrency using Ozma, an extension of the Scala language employing the Oz deterministic dataflow concepts.
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Why Prismatic Goes Faster With Clojure
Bradford Cross recommends creating custom libraries containing composable abstractions instead of monolithic frameworks, exemplifying with Flop, Store, Graph, and Newsfeeds, all written in Clojure.
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Classifiers: A Simple Framework for Accelerating Application Development
David Raal discusses Classifiers, a framework for dealing with classifiers and schemes, covering: what classifiers are, usage, design basics, integrating them into applications, pitfalls and issues.
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Introduction to CUDA C
Cyril Zeller introduces NVIDIA CUDA development, showing how to write and execute C programs on the GPU, how to manage GPU memory and communication with the CPU.
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Concurrent Programming Using The Disruptor
Trisha Gee introduces Disruptor, a concurrency framework based on a data structure – a ring buffer – that enables fast message passing in a parallel environment.
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