InfoQ Homepage AI, ML & Data Engineering Content on InfoQ
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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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Architectural Patterns for High Availability
Adrian Cockcroft presents Netflix globally distributed architecture, the benchmarks used, scalability issues, and the open source components their implementation is based upon.
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Expert Panel - The Relationship Between Big Data and the Semantic Web
Paul Buhler, Steve Hamby, Johan Kumps, Art Ligthart, Markus Zirn, and Clemens Utschig discuss the relationships between Big Data and established Semantic Web technologies.
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A Relational Database System in which Joins Cost Zero
Ori Herrnstadt introduces the Akiban database which solves the problem of joins and combines the best of relational and document databases.
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Introduction to Spring Data
Mark Pollack provides a guided tour plus demos of the Spring Data feature set.
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