Google unveils Mesa - Geo-Replicated Near-Realtime Scalable Data Warehouse by Matt Kapilevich Posted on Aug 19, 2014
Twitter's Manhattan: A Real-time, Multi-tenant Distributed Database by Michael Hausenblas Posted on May 15, 2014
GenMyModel: An Online Real-time Collaborative UML Designer by Abel Avram Posted on Nov 14, 2013 1
Sails 0.8.9: A Rails-Inspired Real-Time Node MVC Framework by Tim Heckel Posted on Apr 13, 2013 4
Dempsy – a New Real-time Framework for Processing BigData by Boris Lublinsky Posted on Apr 25, 2012 8
A New Enterprise Platform for Flex/Java EE Applications by Jean-Jacques Dubray Posted on Jul 26, 2011
InfoQ eMag: Hadoop
Apache Hadoop is proving useful in deriving insights out of large amounts of data, and is seeing rapid improvements. Hadoop 2 now goes beyond Map-Reduce; it is more modular, pluggable and flexible and it fits a variety of use cases better. We explore this as well as some tools that can help utilize Hadoop better.
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Mike Barlow on Real-Time Big Data Analytics
Jun 01, 2013
"Real-Time Big Data Analytics: Emerging Architecture" white paper authored by Mike Barlow covers big data analytics topic and how real-time big data analytics (RTBDA) are different from traditional analytics. InfoQ spoke with Mike about the current state of real-time big data analytics and the emerging trends in the Big Data space like Decision Science.
Real-Time Java for the Enterprise
Mar 10, 2008
Simon Ritter explains the vision and capabilities of the Real-Time Java specification (RTSJ), if your Java app really, really must respond within a certain time regardless of what the garbage collector does, RTSJ is now a possibility rather than a probability.