Choosing the right messaging system during your architectural planning is always a challenge, yet one of the most important considerations to nail. As a developer, I write applications daily that […]
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 […]
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, […]
KSQL is the streaming SQL engine that enables real-time data processing against Apache Kafka®. KSQL makes it easy to read, write and process streaming data in real time, at scale, […]
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 […]
