Articles
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Big Data Processing with Apache Spark - Part 3: Spark Streaming
In this article, third installment of Apache Spark series, author Srini Penchikala discusses Apache Spark Streaming framework for processing real-time streaming data using a log analytics sample application.
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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.
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. Actual implementation is described in the context of Mule. 5
