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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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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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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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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 that...
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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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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...
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Years in Big Data. Months with Apache Flink. 5 Early Observations With Stream...
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 my...
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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 Broadcast...
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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 have added quite a bit of functionality that makes Flink SQL easier to use by eliminating the need to...
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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 main differences between them in Apache Flink. In the following paragraphs, we explain what Savepoints...
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Stateful Stream Processing: Apache Flink State Backends
This episode of our Flink Friday Tip explores stateful stream processing and more precisely the different state backends available in Apache Flink. In the following sections, we present the 3 state...
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How to get started with data Artisans Platform on AWS EKS
In this article, we describe the setup of data Artisans Platform using Amazon Web Services Elastic Container Service for Kubernetes (AWS EKS). data Artisans Platform is built on Kubernetes as the...
View Articledata Artisans Announces Flink Public Training Schedule for Q4 2018
First series of public training now available in Europe and the United States to meet growing demand for Apache Flink skills as enterprise adoption of stream processing soarsBERLIN and SAN FRANCISCO —...
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Community Update: October 2018 Apache Flink Bay Area Meetup
On October 11 MapR and data Artisans held their first mutual Apache Flink Meetup in the Bay Area with more than 40 attendees. The Flink community enjoyed a packed agenda with detailed talks and time...
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Watermarks in Apache Flink Made Easy
As folks first begin to work with Flink, watermarks can be a source of confusion. But this topic doesn’t have to be complicated. Let’s work through a simple example that will show why we need...
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How Apache Flink manages Kafka consumer offsets
In this episode of our Flink Friday Tip, we explain with a step-by-step example how Apache Flink works with Apache Kafka to ensure that records from Kafka topics are processed with exactly-once...
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An introduction to ACID guarantees and transaction processing
Last month we introduced data Artisans Streaming Ledger, our new technology that brings serializable, distributed ACID transactions directly on data streams. In this blog post, we take a step back to...
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6 things to consider when defining your Apache Flink cluster size
This is the first episode of our new blog series called Flink Friday Tip. Flink Friday Tips provide some easy-to-digest best practices and advice on how to leverage the power of Apache Flink and make...
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