Watermarks, Tables, Event Time, and the Dataflow Model
The Google Dataflow team has done a fantastic job in evangelizing their model of handling time for stream processing. Their key observation is that in most cases you can’t globally […]
Join us for Kafka Summit Hackathon in New York City
I’m happy to announce Confluent will be hosting another Kafka Summit Hackathon on May 7th in New York City! The free hackathon will take place a day prior to Kafka […]
Data Reprocessing with the Streams API in Kafka: Resetting a Streams Application
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.
Distributed, Real-time Joins and Aggregations on User Activity Events using Kafka Streams
In previous blog posts we introduced Kafka Streams and demonstrated an end-to-end Hello World streaming application that analyzes Wikipedia real-time updates through a combination of Kafka Streams and Kafka Connect. […]
Introducing Kafka Streams: Stream Processing Made Simple
Update: Today, KSQL, the streaming SQL engine for Apache Kafka®, is also available to support various stream processing operations, such as filtering, data masking and streaming ETL. It is complementary […]
Fully managed Apache Kafka as a Service!
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