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The data Artisans Blog

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

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 requ...

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Flink User Q&A: What are the benefits of data-driven applications and open-source software?

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 Metrics ...

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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 r...

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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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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 tha...

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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 e-...

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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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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 Apac...

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Years in Big Data. Months with Apache Flink. 5 Early Observations With Stream Processing

This Fall I became more active with the Apache Flink community in my role as Technical Evangelist at data Artisans, after almost 8 years in Big Data. At October’s Bay Area Flink Meetup, I discussed ...

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Broadcast State Pattern in Apache Flink: 4 important considerations

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 Broadca...

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