InfoQ Homepage Real Time Content on InfoQ
-
Data Pipelines for Real-Time Fraud Prevention at Scale
Mikhail Kourjanski discusses the architecture of PayPal’s data service which combines a Big Data approach with providing data in real time for decision making in fraud detection.
-
Adding Real-Time Features to Your Applications with SignalR
Javier Lozano introduces SignalR and covers the features and approaches SignalR offers on both client and server sides.
-
Real-Time Data Activation - Analytics, Intelligence & Decision Making
Marcelo Wiermann discusses dealing with real-time analytics with the Lambda Architecture, creating a working data set and data-driven features in an application.
-
Data Decisions with Real-Time Stream Processing
Serhat Yilmaz talks about how Facebook is using stream processing at scale, the difficulties they have encountered and the solutions they have created to date.
-
Enabling High Performance Real-time Analytics for IoT Environments
Mahish Singh discusses how to use methodologies during design, development, deployment and operation for delivery of analytics platforms which offer real-time SLAs.
-
Real-Time & Personalized Notifications @Twitter
Gary Lam and Saurabh Pathak talk about the hybrid push/pull-based architecture adopted by Twitter Notification platform.
-
Extreme Programming Meets Real-time Data
Tom Johnson and Gel Goldsby talk about scaling problems they encountered at Unruly, and where extreme programming values led them.
-
The Move to AI: from HFT to Laplace Demon
Eric Horesnyi and Albert Bifet discuss how hedge funds have moved beyond High Frequency Trading using AI and real-time data processing.
-
ETL Is Dead, Long Live Streams
Neha Narkhede shares the experience at LinkedIn moving from ETL to real-time streams, the challenges of scaling Kafka to hundreds of billions of events/day, supporting thousands of engineers, etc.
-
Exploring Wikipedia with Apache Spark: A Live Coding Demo
Sameer Farooqui demos connecting to the live stream of Wikipedia edits, building a dashboard showing what’s happening with Wikipedia datasets and how people are using them in real time.
-
Papyrus for Real Time: Executable Modeling on Eclipse
Charles Rivet introduces Papyrus RT, an industrial-grade modeling environment for the development of complex, software intensive, real-time, embedded, cyber-physical systems.
-
Microservices for a Streaming World
Ben Stopford discusses using stream processing tools for real-time business apps, handling infinite streams, leveraging high throughput, deploying dynamic, fault-tolerant, and streaming services.