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Introducing Ververica’s New Brand Identity!

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Posts about Flink Features

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Ververica Platform

Announcing Ververica Platform 2.7 for Apache Flink® 1.15

by Daisy Tsang July 12, 2022

The latest minor release includes full support for Flink 1.15, several improvements to the user experience, and a brand new look!

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General | Company Updates

Introducing Ververica’s New Brand Identity

by Alexander Walden June 21, 2022

Today we are extremely excited to introduce our new visual brand identity for Ververica and our products, such as Ververica Platform! This has been in the works for many months, and a project we...

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Apache Flink, Ververica Platform

Security Advisory - Log4Shell

by Konstantin Knauf December 17, 2021

What is Log4Shell? A Remote Code Execution (RCE) vulnerability was discovered in the popular Java logging library, Log4j. It is tracked via CVE-2021-44228 and is known as Log4Shell. This is a serious...

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Ververica Platform

Announcing Ververica Platform 2.6 for Apache Flink® 1.14

by Konstantin Knauf November 02, 2021

New release enables Apache Flink users to address new mixed batch/stream application use cases and simplify operation of stream processing systems at scale.

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Ververica Platform

Advanced Configurations with Ververica Platform Community Edition

by Seth Wiesman June 22, 2020

Welcome to the third post in our Ververica Platform Community Edition series. The first two posts covered installation and common operational activities. If you missed the first part and want to go...

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Friday-Flink-Tip-Olivia-dA
Apache Flink Flink Features
by Stefan Richter February 26, 2020

How to manage your RocksDB memory size in Apache Flink

This blog post describes some configuration options that will help you to efficiently manage the...

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TemporalTables_1
Apache Flink Flink Features Flink SQL
by Marta Paes May 08, 2019

Flux capacitor, huh? Temporal Tables and Joins in Streaming SQL

Figuring out how to manage and model temporal data for effective point-in-time analysis was a...

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Flink-user-QA-thumbnail
Apache Flink Flink Features
by Vino Yang March 05, 2019

What are the benefits of stream processing with Apache Flink for modern application development?

This blog post is a Q&A session with Vino Yang, Senior Engineer at Tencent’s Big Data team. Below,...

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image2-3
Apache Flink Flink Features
by Konstantin Knauf February 27, 2019

Monitoring Apache Flink Applications 101

This post originally appeared on the Apache Flink blog. It was reproduced here under the Apache...

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Flink SQL, Apache Flink, streaming SQL, MATCH_RECOGNIZE, stream processing
Apache Flink Flink Features Flink SQL
by Marta Paes January 29, 2019

MATCH_RECOGNIZE: where Flink SQL and Complex Event Processing meet.

With the unavoidable and ever-growing presence of sensors and smart devices, Complex Event...

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Flink-Friday-Tip-Thumbnail
Apache Flink Flink Features
by Marta Paes December 17, 2018

5 “baby” steps to develop a Flink application

Getting up and running with Flink is easy as ABC. In this post, we go over 5 “baby” steps to guide...

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Flink, Broadcast state, stateful stream processing
Apache Flink Flink Features
by Markos Sfikas November 09, 2018

Broadcast State Pattern in Apache Flink: 4 important considerations

This post explores the Broadcast State pattern that was introduced in Apache Flink 1.5.0. In the...

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Apache Flink, Flink SQL, streaming SQL, stream processing, stateful stream processing
Apache Flink Flink Features Flink SQL
by Aljoscha Krettek November 06, 2018

Flink SQL for powerful querying of data streams and data at rest

While Flink SQL was initially released with Flink 1.1.0 back in August 2016, recent Flink releases...

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Flink Savepoints, Checkpoints, Checkpointing, Flink, Apache Flink, opensource
Apache Flink Flink Features
by Stefan Richter November 02, 2018

3 differences between Savepoints and Checkpoints in Apache Flink

This episode of our Flink Friday Tip explains what Savepoints and Checkpoints are and examines the...

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