Architecting Scalable, Dynamic Systems when Eventual Consistency Won’t Work by Michael Stiefel Posted on Jan 20, 2016
Lessons Learned Building Distributed Systems at Bitly by Sergio De Simone Posted on Jul 23, 2014
Microsoft Tackles Internet-of-Things With New Data Stream Processing Service by Richard Seroter Posted on Jul 22, 2014 1
New York Times Lab Introduces Visual Stream Processing Tool by Michael Hausenblas Posted on Apr 01, 2014 1
Dempsy – a New Real-time Framework for Processing BigData by Boris Lublinsky Posted on Apr 25, 2012 8
Big Data Processing with Apache Spark - Part 3: Spark Streaming by Srini Penchikala Posted on Jan 07, 2016
Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse by Kai Wähner Posted on Sep 10, 2014 8
Martin Kleppmann on Using Logs for Building Data Infrastructure, CAP, CRDTs
Jun 28, 2015
Martin Kleppmann explains how logs are used to implement systems (DBs, replication, consensus systems, etc), integrating DBs and log-based systems, the relevance of CAP and CRDTs, and much more.
Darach Ennis on CEP, Stream Processing, Messaging, OOP vs Functional Architecture
May 09, 2013
Darach Ennis explains the lessons learned from the Complex Event Processing community, reactive programming, the challenges of messaging on mobile platforms, OOP vs Functional and much more.
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.
View book details