Confluent Blog

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

Using KSQL, the SQL streaming engine for Apache Kafka®, it’s straightforward to build streaming data pipelines that filter, aggregate, and enrich inbound data. The data could be from numerous sources,

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.

In the previous article, we saw how syslog data can be easily streamed into Apache Kafka® and filtered in real time with KSQL. In this article, we’re going to see how

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

In this post I’m going to show what streaming ETL looks like in practice. We’re replacing batch extracts with event streams, and batch transformation with in-flight transformation. But first, a