Remove getting-started-with-rust-and-kafka
article thumbnail

Data News — Week 23.11

Christophe Blefari

On my side I'm slowly starting to get on top of the things I had in queue. Which means that I get easily disturbed by a notification—or even a thought—and do something that I did not plan to do at first. It, probably, explains why you always get the newsletter late on Fridays—or Saturdays.

Data 130
article thumbnail

Data News — Week 22.48

Christophe Blefari

Modern Data Modeling: Start with the End? Joe Reis launched his Substack — Joe is the co-author of the great The Fundamentals of Data Engineering and his blog already have 2 articles I deeply recommend: No extra credit for complexity & Groundhog Days. Train(s) ( credits ) Hey you, this is an unusual Saturday.

Kafka 130
Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Brief History of Data Engineering

Jesse Anderson

Cloudera was started in 2008, and HortonWorks started in 2011. It didn’t get wide adoption as it was a bit early for real-time, and the API was difficult to wield. Apache Kafka came in 2011 and gave the industry a much better way to move real-time data. They created MapReduce and GFS in 2004.

article thumbnail

Getting Started with Rust and Apache Kafka

Confluent

I’ve written an event sourcing bank simulation in Clojure (a lisp build for Java virtual machines or JVMs) called open-bank-mark , which you are welcome to read about in my previous blog post explaining the story behind this open source example. The bank application. Either way, both are accomplished with event sourcing.

Kafka 18