[Webinaire] La reprise après sinistre des systèmes basés sur Kafka | Inscrivez-vous dès maintenant
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.
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, […]
For those of you who are hungry for more stream processing, we are pleased to share the recent release of Confluent’s Stream Processing Cookbook, which features short and tasteful KSQL […]
Previously in part 1, we saw how to troubleshoot one of the most common issues that people have with KSQL—queries that don’t return data even though data is expected. Here, […]
KSQL is the powerful SQL streaming engine for Apache Kafka®. Using SQL statements, you can build powerful stream processing applications. In this article, we’ll see how to troubleshoot some of […]
The way in which we handle data and build applications is changing. Technology and development practices have evolved to a point where building systems in isolated silos is somewhat impractical, […]
In this blog post, we show you how to build a demo streaming application with KSQL, the streaming SQL engine for Apache Kafka®. This application continuously computes, in real time, […]
We are happy to announce that our paper Streams and Tables: Two Sides of the Same Coin is published and available for free download. The paper was presented at the […]
KSQL, the SQL streaming engine for Apache Kafka®, puts the power of stream processing into the hands of anyone who knows SQL. It’s fun to use for exploring data in […]
Confluent’s own Bill Bejeck has recently completed Kafka Streams in Action, a book about building real-time applications and microservices with the Kafka Streams API. The book is scheduled to be available […]
Confluent Cloud™ is a fully-managed streaming data service based on open-source Apache Kafka. With Confluent Cloud, developers can accelerate building mission-critical streaming applications based on a single source of truth. […]
Syslog is one of those ubiquitous standards on which much of modern computing runs. Built into operating systems such as Linux, it’s also commonplace in networking and IoT devices like […]
Life would be simple if data lived in one place: one single solitary database to rule them all. Anything that needed to be joined to anything could be with a […]
We are pleased to announce the release of KSQL v0.5, aka the February 2018 release of KSQL. This release is focused on bug fixes and as well as performance and stability […]
In this blog post, we first look at stream processing examples using KSQL that show how companies are using Apache Kafka® to grow their business and to analyze data in […]