Ververica Blog

This blog post describes some configuration options that will help you to efficiently manage the memory size of the RocksDB state backend in Apache Flink. In an earlier post, we described the...

Figuring out how to manage and model temporal data for effective point-in-time analysis was a longstanding battle, dating as far back as the early 80’s, that culminated with the introduction of...

This blog post is a Q&A session with Vino Yang, Senior Engineer at Tencent’s Big Data team. Below, we discuss the benefits of adopting stream processing and Apache Flink for modern application...

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0.

With the unavoidable and ever-growing presence of sensors and smart devices, Complex Event Processing (CEP) is fast becoming a critical paradigm for enterprises to keep ahead of the curve and turn...

Getting up and running with Flink is easy as ABC. In this post, we go over 5 “baby” steps to guide you through setting up your first running Flink application locally. We discuss the software...

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 need...

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...