InfoQ Homepage Event Stream Processing Content on InfoQ
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Storm Applied Review and Q&A with the Authors
Storm is a distributed, fault-tolerant, real-time computation system that was originally developed at BackType and later open sourced by Twitter. Storm Applied is a new book from Manning that aims to provide a practical guide on using Storm, both in a development and in a production setting. InfoQ has spoken with two of the book’s authors, Sean T. Allen and Matthew Jankowski.
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Real-Time Stream Processing as Game Changer in a Big Data World with Hadoop and Data Warehouse
This article discusses what stream processing is, how it fits into a big data architecture with Hadoop and a data warehouse (DWH), when stream processing makes sense, and what technologies and products you can choose from.
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Using SEDA to Ensure Service Availability
A new strategy for incorporating event driven architecture for scalability and availability of services in the context of SOA. These strategies are based on queuing research pioneered for the use of highly abailable and scalable services, initially in the Web context, but moving into the SOA and Web services context. Actual implementation is described in the context of Mule.