I'm here at the Commercial Users of Functional Programming workshop at ICFP 2013) with Heidi Howard, David Sheets and Leo White. Marius Eriksen and Michael Sperber are co-chairing this year. Functional programming is a hot topic these days, and this year's program reflects the maturing nature of the program. Record number of submissions, and we could easily have made this a multi-day program. Â
Technical talks from the best San Francisco Bay Area meetups for software engineers and data scientists devoted to thoughtful and scalable programming and AI...
Twitter is a global real-time communications platform that processes many billions of events every day. Aggregating these events in real time presents a massive challenge of scale. Classic time-series applications include site traffic, service health, and user engagement monitoring; these are increasingly complemented by a range of analytics products and features such as Tweet activity, Followers,
Twitter's Summingbird library allows developers and data scientists to build massive streaming MapReduce pipelines without worrying about the usual mess of systems issues that come with realtime systems at scale. But what if your project is not quite at "scale" yet? Should you ignore scale until it becomes a problem, or swallow the pill ahead of time? Is using Summingbird overkill for small projec
Have you ever asked yourself what monoids and monads are, and particularly why they seem to be so attractive in the field of large-scale data processing? Twitter recently open-sourced Algebird, which provides you with a JVM library to work with such algebraic data structures. Algebird is already being used in Big Data tools such as Scalding and SummingBird, which means you can use Algebird as a me
Next Generation Hadoop - It's Not Just Batch! In my JavaOne talk today I presented changes that are happening in Hadoop, where it’s shaking off it’s batch-based shackles and enabling a new Hadoop platform that can support a mix of processing systems, from stream-processing systems to NoSQL systems. The slides for my talk can be viewed on Speaker Deck. The rest of this post is an overview of the te
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