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Architecture & Design

Design Patterns for Combining Fast Data with Big Data in Finance

Mike Stolz shares insight in combining the benefits of analyzing Big Data with those of grabbing the opportunities offered by Fast Data in the Financial Services industry.

Mike Stolz
on Jul 25, 2012

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44:45
Storm: Distributed and Fault-tolerant Real-time Computation

Nathan Marz discusses Storm concepts –streams, spouts, bolts, topologies-, explaining how to use Storms’ Clojure DSL for real-time stream processing, distributed RPS and continuous computations.

Nathan Marz
on Jul 25, 2012

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42:26
Chloe and the Real Time Web

Trotter Cashion introduces and demoes Chloe, a web server that handles real time data streaming between browsers and web applications written in any language and using any framework.

Trotter Cashion
on Mar 21, 2012

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48:38
Exploring Composition and Functional Systems in the Cloud

David Pollak discusses predicates, dependencies, functional languages and programming for the real-time cloud.

David Pollak
on Mar 05, 2012

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58:01
Big Data in Real Time at Twitter

Nick Kallen discusses how Twitter handles large amounts of data in real time by creating 4 data types and query patterns -tweets, timelines, social graphs, search indices-, and the DBs storing them.

Nick Kallen
on Aug 03, 2011

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01:05:36
Financial Transaction Exchange at BetFair.com

This presentation covers Betfair's efforts, e.g. Flywheel, that enables serving 50,000 low cost transactions per second. This technology has become the basis for the Tradefair financial exchange.

Matt Youill
on May 03, 2009

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45:03
Real-Time Java for Latency Critical Banking Applications

Bertrand Delsart discusses real-time (RT) computing requirements in banking, RT Java history, priority semantics, RT APIs, RT Garbage Collection, soft vs. hard RT, and benefits of RT Java.

Bertrand Delsart
on Oct 22, 2008

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48:20