InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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The Technology behind an Equity Trade
John O’Hara discusses banking business and technology integration, covering: low-latency, high-frequency trading, in-memory caches, multi-terabyte time-series databases, and contracts in NoSQL stores.
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Lessons Learned Building Storm
Nathan Marz shares lessons learned building Storm, an open-source, distributed, real-time computation system.
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Building Applications using Apache Hadoop
Eli Collins overviews how to build new applications with Hadoop and how to integrate Hadoop with existing applications, providing an update on the state of Hadoop ecosystem, frameworks and APIs.
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Copious Data, the "Killer App" for Functional Programming
Dean Wampler supports using Functional Programming and its core operations to process large amounts of data, explaining why Java’s dominance in Hadoop is harming Big Data’s progress.
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Cloud and Big Data: Unicorns All the Way Down
Francine Bennett keynotes on using big data in the cloud.
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JavaScript as Data Processing Language & HTML5 Integration
Quentin Adam discusses the connections between NoSQL, data processing, message broking and JavaScript, and how one can quickly prototype with these tools.
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The Big Data Revolution
Claudia Perlich keynotes on M6D’s approach to Big Data, using data granularity to build predictive models used for user targeting, bid optimization and fraud detection.
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The Why, What and How of Open Data
Jeni Tennison explains how to evaluate an organization's data assets as potential sources of open data, and how to deal with the thorny issues of derived and personal data.
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Data Modeling for NoSQL
Tony Tam shares tips for modeling data with MongoDB for a fast and scalable system based on his experience migrating billions of records from MySQL to MongoDB.
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APIs in Government
Gray Brooks discusses the efforts around creating APIs for accessing the vast amounts of data administered by the US Government.
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Integrating SQL & NoSQL & NewSQL & Realtime Data Intelligence for the Financial Industry
Charles Cai, Ashwani Roy discuss a robust, cost effective, hypothetical solution to address extreme challenges in financial institutions, from decision making support to pricing and risk management.
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The Past, Present, and Future of NoSQL
Matt Asay outlines the reasons for NoSQL's existence and persistence, and will identify the trends that point to a bright future for post-relational databases.
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