11 posts tagged with "StreamPark"

Abstract: This article originates from the production practices of StreamPark at Dustess Information, written by the senior data development engineer, Gump. The main content includes:

1. Technology selection
2. Practical implementation
3. Business support & capability opening
4. Future planning
5. Closing remarks

Dustess Information is a one-stop private domain operation management solution provider based on the WeChat Work ecosystem. It is committed to becoming the leading expert in private domain operation and management across all industries, helping enterprises build a new model of private domain operation management in the digital age, and promoting high-quality development for businesses.

Currently, Dustess has established 13 city centers nationwide, covering five major regions: North China, Central China, East China, South China, and Southwest China, providing digital marketing services to over 10,000 enterprises across more than 30 industries.

Abstract: This article presents the production practices of StreamPark at Joyme, written by Qin Jiyong, a big data engineer at Joyme. The main contents include:

• Encountering StreamPark
• Flink SQL job development
• Custom code job development
• Monitoring and alerting
• Common issues
• Community impressions
• Summary

Summary: The author of this article, "StreamPark: An All-in-One Computation Tool in Haibo Tech's Production Practice and facilitation in Smart City Construction," is the Big Data Architect at Haibo Tech. The main topics covered include:

1. Choosing StreamPark
2. Getting Started Quickly
3. Application Scenarios
4. Feature Extensions
5. Future Expectations

Haibo Tech is an industry-leading company offering AI IoT products and solutions. Currently, they provide full-stack solutions, including algorithms, software, and hardware products, to clients nationwide in public safety, smart cities, and smart manufacturing domains.

Introduction: Ziroom, an O2O internet company focusing on providing rental housing products and services, has built an online, data-driven, and intelligent platform that covers the entire chain of urban living. Real-time computing has always played an important role in Ziroom. To date, Ziroom processes TB-level data daily. This article, brought by the real-time computing team from Ziroom, introduces the in-depth practice of Ziroom's real-time computing platform based on StreamPark.

• Challenges in real-time computing
• The journey to the solution
• In-depth practice based on StreamPark
• Summary of practical experience and examples
• Benefits brought by the implementation
• Future plans

Introduction：Changan Automobile is one of the four major automobile cluster companies in China. With the advancement of business development and digital intelligence, the requirements for the effectiveness of data are getting higher and higher. There are more and more Flink operations. Changan Automobile originally developed a set of flow processes. The application platform is used to meet the basic needs of developers for Flink job management and operation and maintenance. However, it faces many challenges and dilemmas in actual use. In the end, Apache StreamPark was used as a one-stop real-time computing platform, which effectively solved the previous problems. Faced with many difficulties, the solution provided by StreamPark simplifies the entire development process, saves a lot of time in Flink job development and deployment, gets out of the quagmire of job operation and maintenance management, and significantly improves efficiency.

Contributor | Changan Intelligent Research Institute Cloud Platform Development Institute

Editing and proofreading｜Pan Yuepeng