Processing Streaming Human Trajectories with WSO2 CEP by Posted on Feb 27, 2017
Key Takeaway Points and Lessons Learned from QCon San Francisco 2016 by Posted on Dec 14, 2016
Big Data Processing with Apache Spark - Part 3: Spark Streaming by 7 Posted on Jan 07, 2016
Storm Applied Review and Q&A with the Authors by Posted on Jul 27, 2015
Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse by 8 Posted on Sep 10, 2014
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