InfoQ Homepage Infrastructure Content on InfoQ
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Practical Machine Learning
Seth Juarez introduces the nuML machine learning library, addressing the clustering issue in .NET applications by focusing on recommendation engines and anomaly detection.
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Introduction to Data Science
Bryan Nehl makes an introduction to the data science: data formats, ETL tools, NoSQL databases, languages, libraries, techniques and approaches for exploring data and extracting value from it.
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Let It Go: Building a Global Social Enterprise by Empowering Your Employees
Rupert Scofield explains how to build, motivate, and manage a team that both embraces the mission and delivers financial results, how to mitigate risk, and how to solve interpersonal conflicts.
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Machine Learning at Netflix Scale
Aish Fenton discusses Netflix' machine learning algorithms, including distributed Neural Networks on AWS GPUs, providing insight into offline experimentation and online AB testing.
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#define Hell in Multi-platform Embedded Programming
Tore Martin Hagen shares from his experience on how to compile and build software for multiple hardware platforms.
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My Mobile App Only Works on My Phone? How to Scale Enterprise Mobile Apps
The authors discuss patterns and technologies needed to scale large enterprise mobile systems, covering handling network connectivity, data reliability and real-time communication.
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An Introduction to Spring Data
Frank Moley introduces Spring Data and how to use it for applications connected to either RDBMS or NoSQL databases.
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Persistence: A View from Stratosphere
Stefan Edlich discusses big data systems -Spanner, Presto- and the future of data persistence, data analytics, data formats and of NoSQL/NewSQL in general.
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Leveraging Big Data for Payment Risk Management
John Canfield discusses the changing payment ecosystem, innovations in mining and organizing unstructured data from many sources, and approaches to deciding for loss minimization and user experience.
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Threads, Needles, Stacks, Heaps
Ovidiu Dimulescu provides tips for working with local and remote JVMs, startup flags, analyzing and correlating thread dumps with CPU consumption, instrumentation, multi-tenant JVMs, memory games, etc
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How Netflix Leverages Multiple Regions to Increase Availability: An Active-Active Case Study
Ruslan Meshenberg discusses Netflix's challenges, operational tools and best practices needed to provide high availability through multiple regions.
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How Shutl Delivers Even Faster Using Neo4J
Volker Pacher, Sam Phillips present key differences between relational databases and graph databases, and how they use the later to model a complex domain and to gain insights into their data.
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