Confluent Blog

The relationship between Apache Kafka® and machine learning (ML) is an interesting one that I’ve written about quite a bit in How to Build and Deploy Scalable Machine Learning in

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

If you’ve worked with the Apache Kafka® and Confluent ecosystem before, chances are you’ve used a Kafka Connect connector to stream data into Kafka or stream data out of it.

Trains are an excellent source of streaming data—their movements around the network are an unbounded series of events. Using this data, Apache Kafka® and Confluent Platform can provide the foundations

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the

Last week, the Kafka Summit hosted nearly 2,000 people from 40 different countries and 595 companies—the largest Summit yet. By the numbers, we got to enjoy four keynote speakers, 56

As the head of global customer marketing at Confluent, I tell people I have the best job. As we provide a complete event streaming platform that is radically changing how

This tutorial describes how to set up a sample Spring Boot application in Pivotal Application Service (PAS), which consumes and produces events to an Apache Kafka® cluster running in Pivotal

This tutorial describes how to set up an Apache Kafka® cluster on Enterprise Pivotal Container Service (Enterprise PKS) using Confluent Operator, which allows you to deploy and run Confluent Platform

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract, which turns article and product pages into structured data. At Scrapinghub, we specialize in web data