stream processing

Between 2009 and 2013, I published ten book reviews on this blog. And since then, nothing. Reading a book is a huge commitment, not to mention the review. During the lockdown, Manning approached me for a 'partnership opportunity'. In general, I turn down such offers. But I already bought and read books from Manning in the past: they range from above-average to good reads. I proposed to amend the deal like this: Manning sends a book of my choice for free and I write an honest review. The publi

This is the 3rd post in the Stream Processing focus series. Last week, we had a look at how stream processing could help us compute mathematical approximations using Hazelcast Jet. We described the Pipeline API, and mentioned that it drew from a source and drained to a sink. This week, I’d like to detail those concepts, what out-of-the-box sinks and sources are available in Jet, and how to create your own should the need be.

This is the 2nd post in the Stream Processing focus series. Last week, we had a look at what is stream processing. In this post, I’d like to address one possible use-case for stream processing: the computation of mathematical approximations.

This is the 1st post in the Stream Processing focus series. If software is eating the world, data is the new oil. Those who are able to best manage the huge mass of data will emerge out on top. The state-of-the-art way to refine this oil is stream processing. In this post, I’d like to describe what is stream processing, and why it’s necessary in this day and age.