InfoQ Homepage Database Content on InfoQ
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How 30 Years of Ticket Transaction Data Helps you Discover New Shows!
Vaclav Petricek discusses how to train models, architect and build a scalable system powered by Storm, Hadoop, Spark, Spring Boot and Vowpal Wabbit that meets SLAs measured in tens of milliseconds.
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Distributed Eventually Consistent Computations
Christopher Meiklejohn looks at applying two techniques together, deterministic data flow programming and conflict-free replicated data types, to create highly available and fault-tolerant systems.
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Taking the Pain out of Real-time Mobile Back-end Development
Mandy Waite shows how to get started with Firebase before walking through a live demo of building a multi-user, collaborative mobile app that provides real-time updates to its users.
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Interactive Analytics at Scale with Druid
Julien Lavigne du Cadet discusses how Criteo uses Druid: an open-source, real-time data store designed to power interactive applications at scale, covering Druid's architecture and internals.
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Mini-talks: Machine Intelligence, Algorithms for Anti-Money Laundering, Blockchain
Mini-talks: The Machine Intelligence Landscape: A Venture Capital Perspective. The future of global, trustless transactions on the largest graph: blockchain. Algorithms for Anti-Money Laundering
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Mini-talks: OS/App Inversion, Testing & Living Databases
Mini-talks on: OS/application inversion, testing, living databases, and rogue protocols.
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Applying Reactive Programming to Existing Applications
Ben Christensen discusses the mental shift from imperative to declarative programming, working with blocking IO such as JDBC and RPC, service composition, debugging and unit testing.
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Financial Modeling with Apache Spark: Calculating Value at Risk
Sandy Ryza aims to give a feel for what it is like to approach financial modeling with modern big data tools, using the Monte Carlo method for a a basic VaR calculation with Spark.
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LDAP at Lightning Speed
Howard Chu covers highlights of the LMDB design and discusses some of the internal improvements in slapd due to LMDB, as well as the impact of LMDB on other projects.
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Product thru the Looking Glass
Chris Matts discusses how to manage product mastery, how do we decide whether to use analysis or product management techniques, and what does an end-to-end process looks like.
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The SenseMaker® Method
Tony Quinlan introduces the SenseMaker® method from preparing the ground through gathering experiences and qualitative material to analysis and action planning.
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Lightning Fast Cluster Computing with Spark and Cassandra
Piotr Kołaczkowski discusses how they integrated Spark with Cassandra, how it was done, how it works in practice and why it is better than using a Hadoop intermediate layer.