Hi list, I'm new to Flink, and I find this project very interesting. I have experience with Apache Spark, and for I've seen so far I find that Flink provides an API at a similar abstraction level but based on single record processing instead of batch processing. I've read in Quora that Flink extends stream processing to batch processing, while Spark extends batch processing to streaming. Therefore I find Flink specially attractive for low latency stream processing. Anyway, I would appreciate if someone could give some indication about where I could find a list of hardware requirements for the slave nodes in a Flink cluster. Something along the lines of https://spark.apache.org/docs/latest/hardware-provisioning.html. Spark is known for having quite high minimal memory requirements (8GB RAM and 8 cores minimum), and I was wondering if it is also the case for Flink. Lower memory requirements would be very interesting for building small Flink clusters for educational purposes, or for small projects.
Apart from that, I wonder if there is some blog post by the comunity about transitioning from Spark to Flink. I think it could be interesting, as there are some similarities in the APIs, but also deep differences in the underlying approaches. I was thinking in something like Breeze's cheatsheet comparing its matrix operatations with those available in Matlab and Numpy https://github.com/scalanlp/breeze/wiki/Linear-Algebra-Cheat-Sheet, or like http://rosettacode.org/wiki/Factorial. Just an idea anyway. Also, any pointer to some online course, book or training for Flink besides the official programming guides would be much appreciated Thanks in advance for help Greetings, Juan
