Confluent Blog

2017年5月に、ウォーターマークやトリガーといった概念を Kafka Streams に適用するのではなく、継続的な […]

本ブログ記事の Part 1 Spring for Apache Kafka – Part 1: エラー処理、メッセージ変換とトランザクションサポートに続き、Part 2 では […]

Here at Zenreach, we create products to enable brick-and-mortar merchants to better understand, engage and serve their customers. Many of these products rely on our capability to quickly and reliably […]

Stream processing is a data processing technology used to collect, store, and manage continuous streams of data as it’s produced or received. Stream processing (also known as event streaming or […]

The phrase time value of data has been used to demonstrate that the value of captured data diminishes by time. This means that the sooner the data is captured, analyzed […]

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, […]

Zenreach provides a platform that leverages Wi-Fi and enables merchants to better understand and engage with their customers. Most of our product features depend on one basic building block: 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 […]

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 […]

Adam Warski is one of the co-founders of SoftwareMill, where he codes mainly using Scala and other interesting technologies. He is involved in open-source projects, such as sttp, MacWire, Quicklens, […]