InfoQ Homepage Architecture & Design Content on InfoQ
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Testing ASD Interface Compliance with Spec Explorer
Arjan van der Meer explains how to perform Analytical Software Design interface compliance using Microsoft Spec Explorer.
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TSAR: How to Count Tens of Billions of Daily Events in Real Time Using Open Source Technologies
Gabriel Gonzalez introduces TSAR (TimeSeries AggregatoR), a service for real-time event aggregation designed to deal with tens of billions of events per day at Twitter.
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Building a Data Pipeline with the Tools You Have - An Orbitz Case Study
Steve Hoffman, Ken Dallmeyer share their experience integrating Hadoop into the existing environment at Orbitz, creating a reusable data pipeline, ingesting, transporting, consuming and storing data.
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Weathering the Data Storm
Claudia Perlich discusses privacy-preserving representations, robust high-dimensional modeling, large-scale automated learning systems, transfer learning, and fraud detection.
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SQL on Hadoop - Pros, Cons, the Haves and Have Nots
Ted Dunning discusses the different options for running SQL on Hadoop including pros and cons.
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Developing Microservices for PaaS with Spring and Cloud Foundry
This session describes architectural patterns for developing microservices: Service Decomposition, API Gateways, Stateless/Shared-Nothing Apps, Configuration and Backing Service Consumption, etc.
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The State of Hybrid Mobile Development
TJ VanToll takes a look at where the hybrid ecosystem is today, and where it's heading, trying to evaluate if the ecosystem is growing or shrinking.
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The Product Design Sprint and Test-Driven Design
Alex Baldwin explains the exercises used in the 5 phases of a Design Sprint: Build, Diverge, Converge, Prototype, and Test.
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Creating REST-ful, Hypermedia-based Microservices with Spring Boot
Ben Hale discusses how to design microservices as RESTful APIs and implement them with minimal code using Spring Boot.
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Apache Spark Plus Many Other Frameworks: How Spark Fits into the Big Data Landscape
Paco Nathan keynotes on how Spark fits into the big data landscape, describing what other systems work with Spark, and explaining why Spark is needed in the future.
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Getting Real with the MapR Platform
Jim Scott keynotes on the history of Hadoop, the difficulties that this technology has gone through, exploring the reasons why enterprises need to evaluate their targets and prepare for the future.
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The Idea Stack: Finding Your Product Vision
Josh Wexler takes participants through the Idea Stack exercises and use case studies, illustrating how to build a vision for a product before developing it.
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