Exactly-once Semantics are Possible: Here’s How Kafka Does it
I’m thrilled that we have hit an exciting milestone the Kafka community has long been waiting for: we have introduced exactly-once semantics in Apache Kafka in the 0.11 release. In […]
I’m thrilled that we have hit an exciting milestone the Kafka community has long been waiting for: we have introduced exactly-once semantics in Apache Kafka in the 0.11 release. In […]
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 his book Design Patterns Explained, Alan Shalloway compares his car to an umbrella. After all, he uses both to stay dry in the rain. The umbrella has an advantage […]
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 post was co-written with Michael Noll, Product Manager, Confluent, and Matthias J. Sax, Engineer, Confluent. The Google Dataflow team has done a fantastic job in evangelizing their model of handling […]
Event sourcing as an application architecture pattern is rising in popularity. Event sourcing involves modeling the state changes made by applications as an immutable sequence or “log” of events. Instead […]
A few months ago, we announced the release of open-source Confluent Platform 3.0 and Apache Kafka 0.10, marking the availability of Kafka Streams — the new stream processing engine of […]
This blog post is written jointly by Stephan Ewen, CTO of data Artisans, and Neha Narkhede, CTO of Confluent. Stephan Ewen is PMC member of Apache Flink and co-founder and CTO […]
This blog post is the third in a series about the Streams API in Kafka, the new stream processing library of the Apache Kafka project, which was introduced in Kafka […]
It is August already, and this marks exactly one year of monthly “Log Compaction” blog posts – summarizing news from the very active Apache Kafka and stream processing community. Hope […]
