Confluent Blog

As your Apache Kafka® deployment starts to grow, the benefits of using a schema registry quickly become compelling. Confluent Schema Registry, which is included in the Confluent Platform, enables you […]

UPDATE: This blog post has been updated. Please refer to “How to build a UDF and/or UDAF in KSQL 5.0,” which describes how you can leverage KSQL’s official API for building a […]

Apache Kafka and Apache Mesos are very well-known and successful Apache projects. A lot has happened in these projects since Confluent’s last blog post on the topic in July 2015. […]

There has been a lot of talk recently that traditional ETL is dead. In the traditional ETL paradigm, data warehouses were king, ETL jobs were batch-driven, everything talked to everything […]

In this blog post, we’re going to get back to basics and walk through how to get started using Apache Kafka with your Python applications. We will assume some basic […]

Introduction What’s great about the Kafka Streams API is not just how fast your application can process data with it, but also how fast you can get up and running […]

This is a guest blog post by Stephane Maarek. Stephane is an IT consultant at Simple Machines. You can check his GitHub or connect with him on LinkedIn. If you use Apache Kafka […]

Seems that many engineers have “Learn Kafka” on their new year resolution list. This isn’t very surprising. Apache Kafka is a popular technology with many use-cases. Armed with basic Kafka […]

This blog post is the third in a series about the Streams API of Apache Kafka, the new stream processing library of the Apache Kafka project, which was introduced in Kafka v0.10.

This is a guest blog from Fangjin Yang. Fangjin is the co-founder and CEO of Imply, a San Francisco based technology company, and one of the main committers of the Druid […]