Ververica Blog

Apache Flink supports multiple notions of time for stateful stream processing. This post focuses on event time support in Apache Flink. In the following sections we define what event time is with ...

This Fall I became more active with the Apache Flink community in my role as Technical Evangelist at data Artisans, after almost 8 years in Big Data. At October’s Bay Area Flink Meetup, I...

This post explores the Broadcast State pattern that was introduced in Apache Flink 1.5.0. In the following sections, we describe what is a Broadcast State Pattern, how Broadcast State differs from...

While Flink SQL was initially released with Flink 1.1.0 back in August 2016, recent Flink releases have added quite a bit of functionality that makes Flink SQL easier to use by eliminating the...

This episode of our Flink Friday Tip explains what Savepoints and Checkpoints are and examines the main differences between them in Apache Flink. In the following paragraphs, we explain what...

This episode of our Flink Friday Tip explores stateful stream processing and more precisely the different state backends available in Apache Flink. In the following sections, we present the 3...

On October 11 MapR and data Artisans held their first mutual Apache Flink Meetup in the Bay Area with more than 40 attendees. The Flink community enjoyed a packed agenda with detailed talks and...

As folks first begin to work with Flink, watermarks can be a source of confusion. But this topic doesn't have to be complicated. Let's work through a simple example that will show why we need...

In this blog post, we explain how Apache Flink works with Apache Kafka to ensure that records from Kafka topics are processed with exactly-once guarantees, using a step-by-step example. ...