Apache Flink

Sort by:

Modern Distributed Applications with Stephan Ewen

A major challenge with creating distributed applications is achieving resilience, reliability, and fault tolerance. It can take considerable engineering time to address non-functional

Flink and BEAM Stream Processing with Maximilian Michels

Distributed stream processing systems are used to read large volumes of data and perform operations across those data streams.  These stream processing systems often build off of the

What’s Behind Lyft’s Choices in Big Data Tech

This post was originally written by Alex Woodie at Datanami. Reposted with permission. Lyft was a late entrant to the ride-sharing business model, at least compared to its competitor

Streaming Analytics with Scott Kidder

When you go to a website where a video is playing, and your video lags, how does the website know that you are having a bad experience? Problems with video are often not complete