Développez l'apprentissage automatique prédictif avec Flink | Atelier du 18 déc. | S'inscrire
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...
Learn how the latest innovations in Kora enable us to introduce new Confluent Cloud Freight clusters, which can save you up to 90% at GBps+ scale. Confluent Cloud Freight clusters are now available in Early Access.
Learn how to contribute to open source Apache Kafka by writing Kafka Improvement Proposals (KIPs) that solve problems and add features! Read on for real examples.
Messaging middleware and queues make up a significant portion of legacy enterprise data architectures. Those architectures are buckling under the strain of a range of new requirements involving data volumes […]
I’m pleased to announce the release of Apache Kafka 3.0 on behalf of the Apache Kafka® community. Apache Kafka 3.0 is a major release in more ways than one. Apache […]
The full inventory of three online Kafka Summits in 2021 is now complete. Kafka Summit Americas wrapped just yesterday. Being a part of the event team and the Program Committee, […]
GraphQL and Apache Kafka® are sometimes troubled with misconceptions. One of the reasons for this is that people are often familiar with one but not the other. GraphQL is mostly […]
Data governance initiatives aim to manage the availability, integrity, and security of data used across an organization. With the explosion in volume, variety, and velocity of data powering the modern […]
I’ve always found event sourcing to be fascinating. We spend so much of our lives as developers saving data in database tables—doing this in a completely different way seems almost […]
Imagine you’ve been working with Confluent and just got your new streaming pipeline set up to power your new predictive maintenance solution. Next, you look to implement machine learning (ML) […]
Apache Kafka® is an enormously successful piece of data infrastructure, functioning as the ubiquitous distributed log underlying the modern enterprise. It is scalable, available as a managed service, and has […]
Today, we are delighted to announce Confluent’s expanded partnership with VMware Tanzu. Together, we’re offering our joint customers a complete, cloud-native experience for application developers and platform operators to set […]
Today, as part of our expanded partnership with Elastic, we are announcing an update to the fully managed Elasticsearch Sink Connector in Confluent Cloud. This update allows you to take […]
When companies need help with their vehicle fleets—including transport, storage, or renewing expired registrations—they don’t want to have to deal with multiple vehicle logistics providers. For these companies, ACERTUS provides […]
To effectively use ksqlDB, the streaming database for Apache Kafka®, you should of course be familiar with its features and syntax. However, a deeper understanding of what goes on underneath […]
Sometimes you’d like to write your own code for producing data to an Apache Kafka® topic and connecting to a Kafka cluster programmatically. Confluent provides client libraries for several different […]
We’re pleased to announce ksqlDB 0.20.0! The 0.20 ksqlDB release includes support for the DATE and TIME data types, along with functionality for working with these types. The DATE type […]