[E-book] Data mesh et streaming : guide à l’usage des professionnels | Lire l'e-book
Change data capture is a popular method to connect database tables to data streams, but it comes with drawbacks. The next evolution of the CDC pattern, first-class data products, provide resilient pipelines that support both real-time and batch processing while isolating upstream systems...
Check out all the highlights from the Apache Flink® 1.19 release!
Apache Kafka 3.7 introduces updates to the Consumer rebalance protocol, an official Apache Kafka Docker image, JBOD support in Kraft-based clusters, and more!
One of the most common integrations that people want to do with Apache Kafka® is getting data in from a database. That is because relational databases are a rich source […]
Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine […]
Here at Zenreach, we create products to enable brick-and-mortar merchants to better understand, engage and serve their customers. Many of these products rely on our capability to quickly and reliably […]
The world is changing. New problems need to be solved. Companies now run global businesses that span the globe and hop between clouds in real-time, breaking down data silos to […]
If you have been using Apache Kafka® for a while, it is likely that you have developed a degree of confidence in the command line tools that come with it. […]
Part 1 of this blog series introduced a self-paced tutorial for developers who are just getting started with stream processing. The hands-on tutorial introduced the basics of the Kafka Streams […]
Stream processing is a data processing technology used to collect, store, and manage continuous streams of data as it’s produced or received. Stream processing (also known as event streaming or […]
If you’ve already started designing your real-time streaming applications, you may be ready to test against a real Apache Kafka® cluster. To make it easy to get started with your […]
Last week we announced that we changed the license of some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. We are really grateful to […]
For the first 12 days of December, Confluent shared a daily tech tip related to managing Apache Kafka® in the cloud. These tips make it easier for you to get […]
We’re changing the license for some of the components of Confluent Platform from Apache 2.0 to the Confluent Community License. This new license allows you to freely download, modify, and […]
The phrase time value of data has been used to demonstrate that the value of captured data diminishes by time. This means that the sooner the data is captured, analyzed […]
The principle of least privilege dictates that each user and application will have the minimal privileges required to do their job. When applied to Apache Kafka® and its Streams API, […]
Imagine: Disaster strikes—catastrophic hardware failure, software failure, power outage, denial of service attack or some other event causes one datacenter with an Apache Kafka® cluster to completely fail. Yet Kafka […]