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Stream processing: An Introduction to Event Time in Apache Flink

Apache Flink supports multiple notions of time for stateful stream processing. This post focuses on event time support in Apache Flink. In the following sections we define what event time is with...

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7 reasons to use stream processing & Apache Flink in the IoT industry

This is a guest post by Jakub Piasecki, Director of Technology at Freeport Metrics about using stream processing and Apache Flink in the IoT industry. The content is based on the post that originally...

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Singles Day 2018: data in a Flink of an eye

Sunday 11 November 2018 marked Alibaba’s 10th annual shopping festival Singles Day, which saw a record Gross Merchandise Value (GMV) of $30.8 billion in sales and set a new record for the Chinese...

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4 steps to get your Flink application ready for production

This post explains the necessary configuration steps that will get your Flink application ready for production. In the following sections, we give an overview of important configuration parameters that...

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Getting Started with data Artisans Platform on Azure Kubernetes Service

In previous posts, we walked you through how to get data Artisans Platform up and running in Google Cloud Platform and Amazon Web Services. This time, we are focusing on Microsoft Azure and its hosted...

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What’s new in the latest Apache Flink 1.7.0 release

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 1.7.0. The latest...

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Flink User Q&A: What are the benefits of data-driven applications and...

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.Q: Freeport...

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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 you through setting up your first running Flink application locally. We discuss the software...

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