Ververica Blog

As covered in a recent blog post, RocksDB is a state backend in Flink that allows a job to have state larger than the amount of available memory as the state backend can spill state to local disk....

Apache Flink, Ververica Platform and Alibaba Cloud's RealTime Compute technology stack processes record breaking real time data during this year's Double 11! Wondering how Apache Flink, Ververica...

Introduction Support for event time and stateful event processing are some of the features that make Apache Flink stand out compared to other stream processors. However, using event time may cause...

Transitioning from the batch data processing world into the world of stream processing and real time analytics can be challenging. Throughout this process, there are many new concepts you need to...

Recently, we were doing some experiments with a SQL query that joins a few dimensional tables to enrich incoming records. While doing so, we were thinking of whether an implementation of the same...

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...

This post originally appeared on the Bird Engineering account on Medium. It was reproduced here with permission from the author.   Detecting Offline Scooters with Stream Processing Some of the...

Today, we are excited to announce the launch of Flink Community Packages — a website that showcases the work of the community to push forward the ecosystem surrounding Apache Flink®. Users can...

We are excited to present our re-designed public training offering effective September 2019. The all-new training experience has been re-designed from the ground-up to meet the requirements of a...