12 posts tagged with "Production Practice"

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Introduction：This article mainly introduces the architecture upgrade and evolution of the self-migrating MySQL data to Hive, the original architecture involves many components, complex links, and encounters many challenges, and effectively solves the dilemmas and challenges encountered in data integration after using the combination of StreamPark + Paimon, and shares the specific practical solutions of StreamPark + Paimon in practical applications, as well as the advantages and benefits brought by this rookie combination solution.

StreamPark: https://github.com/apache/streampark

Paimon: https://github.com/apache/paimon

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Contributor｜Beijing Ziru Information Technology Co., Ltd.

Authors of the article｜Liu Tao, Liang Yansheng, Wei Linzi

Article compilation｜Yang Linwei

Content proofreading｜Pan Yuepeng

Introduction: This paper mainly introduces the challenges of job development and management faced by Tianyancha in the operation and maintenance of nearly 1,000 Flink jobs in the real-time computing business, and solves these challenges by introducing Apache StreamPark. It introduces some of the problems encountered in the process of introducing StreamPark, and how to solve these problems and successfully land the project, and finally greatly reduces operation and maintenance costs and significantly improve human efficiency.

Github: https://github.com/apache/streampark

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Contributor | Beijing Tianyancha

Author | Li Zhilin

Article compilation｜Yang Linwei

Content proofreading｜Pan Yuepeng

Introduction: This article mainly introduces Joymaker's application of big data technology architecture in practice, and explains why Joymaker chose "Kubernetes + StreamPark" to continuously optimise and enhance the existing architecture. It not only systematically describes how to deploy and apply these key technologies in the actual environment, but also explains the practical use of StreamPark in depth, emphasising the perfect integration of theory and practice. I believe that by reading this article, readers will help to understand and master the relevant technologies, and will be able to make progress in practice, which will lead to significant learning results.

Github: https://github.com/apache/streampark

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Contributed by | Joymaker

Author | Du Yao

Article Organiser | Yang Linwei

Proofreader | Pan Yuepeng

Abstract: This article is compiled from the sharing of Mu Chunjin, the head of China Union Data Science's real-time computing team and Apache StreamPark Committer, at the Flink Forward Asia 2022 platform construction session. The content of this article is mainly divided into four parts:

• Introduction to the Real-Time Computing Platform Background
• Operational Challenges of Flink Real-Time Jobs
• Integrated Management Based on StreamPark
• Future Planning and Evolution

**Foreword: **This article mainly introduces the implementation of a streaming data warehouse by Bondex, a supply chain logistics service provider, in the process of digital transformation using the Paimon + StreamPark platform. We provide an easy-to-follow operational manual with the Apache StreamPark integrated stream-batch platform to help users submit Flink tasks and quickly master the use of Paimon.

• Introduction to Company Business
• Pain Points and Selection in Big Data Technology
• Production Practice
• Troubleshooting Analysis
• Future Planning