InfoQ Homepage Database Content on InfoQ
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The World after Cloud Computing & Big Data
Gunter Dueck wonders how are we preparing for the new society marked by cloud computing and big data in which jobs are automated and mediocre abilities are no longer accepted?
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HTML5/Angular.js/ Groovy/Java/ MongoDB, All Together - What Could Possibly Go Wrong?
Trisha Gee demoes building a web application using Java, HTML5, Angular.js, Mongo.DB, Groovy and microservices in one hour.
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How Elasticsearch Powers the Guardian's Newsroom
Graham Tackley dives into the details of ophan. Shay Banon covers the technical underpinnings of ophan with a deep dive into the Elasticsearch features and functionality that power the ophan systems.
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A Research Agenda and Vision for Big Data at NASA
Chris Mattmann covers snow hydrology, regional climate modeling, climate science, and intelligence activities that need advancement to deal with the data deluge across NASA and government agencies.
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A Call for Sanity in NoSQL
Nathan Marz discusses building NoSQL-based data systems that are scalable and easy to reason about.
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Next Gen Hadoop
Akmal B. Chaudhri introduces Apache™ Hadoop® 2.0 and Yet Another Resource Negotiator (YARN).
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What Can Hadoop Do for You?
Eva Andreasson presents typical categories of problems that are commonly solved using Hadoop and also some concrete examples in each category.
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Let Me Graph That For You
Ian Robinson discusses graphs data structures, some of the queries that can extract data from them, and tools and techniques to work with graph data.
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Design Patterns for Large-Scale Real-Time Learning
Sean Owen provides examples of operational analytics projects, presenting a reference architecture and algorithm design choices for a successful implementation based on his experience Oryx/Cloudera.
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Revealing the Uncommonly Common with Elasticsearch
Mark Harwood shows how anomaly detection algorithms can spot card fraud, incorrectly tagged movies and the UK's most unexpected hotspot for weapon possession.
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Haskell in the Newsroom
Erik Hinton discusses the successes and failures of making a cultural shift in the newsroom at NYT to accept Haskell and some of the projects Haskell has been used for.