Ververica Blog

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...

I recently presented at Flink Forward San Francisco 2019 and showcased how the User Location Intelligence team at Yelp uses Apache Flink for predicting real-time store visits. In the following...

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 post originally appeared on the Apache Flink blog. It was reproduced here under the Apache License, Version 2.0. The Apache Flink community is pleased to announce Apache Flink 1.8.0. The...