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Apache Flink, stream processing, event-driven applications, and more.

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

May 08, 2019

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 temporal tables in the SQL standard in 2011. Up to...

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

March 05, 2019

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 development.

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Monitoring Apache Flink Applications 101

February 27, 2019

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

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MATCH_RECOGNIZE: where Flink SQL and Complex Event Processing meet.

January 29, 2019

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 real-time, potentially infinite data streams into...

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How to manage your RocksDB memory size in Apache Flink

January 11, 2019

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 alternative state backend options supported in Flink...

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5 “baby” steps to develop a Flink application

December 17, 2018

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 requirements to get started and point out some...

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How can companies benefit from data-driven applications and open-source software?

December 17, 2018

This blog post is a Q&A session with Jakub Piasecki, Director of Technology at Freeport Metrics, about the benefits of real-time, data-driven applications and open-source software.

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Broadcast State Pattern in Apache Flink: 4 important considerations

November 09, 2018

This episode of  Flink Friday Tip 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 other types of operator...

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

November 06, 2018

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 to write Java/Scala code. In this post, we want...

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3 differences between Savepoints and Checkpoints in Apache Flink

November 02, 2018

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 Savepoints are, when they should be used and give a...

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