Articles
-
Processing Streaming Human Trajectories with WSO2 CEP
Extracting useful information from an inaccurate data stream is a significant issue in data stream processing for IoT applications. This article describes the use of Kalman filters to smooth human trajectory information gathered from an iBeacon sensor network and demonstrates its effectiveness. The solution has been built with WSO2 CEP, a complex event processing middleware.
-
Key Takeaway Points and Lessons Learned from QCon San Francisco 2016
The 10th annual QCon San Francisco was the biggest yet, bringing together over 1500 team leads, architects, project managers, and engineering directors. Over 125 practitioner-speakers presented 92 full-length technical sessions and 32 in-depth tutorials, providing deep insights into real-world architectures and state of the art software development practices from a practitioner’s perspective.
-
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.
Storm Applied Review and Q&A with the Authors
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.
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), and what technologies and products you can choose from. 8
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
