This article will introduce PyFlink's architecture and provide a quick demo in which PyFlink is used to analyze CDN logs.
Matei Zaharia, founder of the Spark project, gave an in-depth review of Spark at the Spark + AI Summit 2020 in conjunction with its 10-year anniversary.
This article describes how to use reactive programming in frontend development with a news website as an example.
This article introduces the major changes and new features of Flink 1.11
This article discusses the rapid growth of Apache Flink over the last three years and its potential future growth.
One of the release managers of Flink 1.11.0 shares his deep insights into the long-awaited features and explains them from different perspectives.
In this article, Zhang Jianfeng, a veteran in the open-source community, explains how to evaluate whether the technology is worth learning using three key dimensions.
Read on to see exactly what happened to Flink in 2019, in particular how Alibaba has contributed to Flink.
In this blog, we'll discuss the evolution of Cainiao's Flink implementation solution and supply chain data in terms of real-time data technology architecture.
This article covers the evolution of the OPPO real-time data warehouse and development of Flink SQL.
This article briefly introduces Netflix's data platform team and its key product, Keystone.
In this article, Lu Hao of Meituan-Dianping shares the company's practices using the Flink-based real-time data warehouse platform.
This article introduces the architecture and practices of the Bilibili's Saber real-time computing platform by considering the pain points of real-time computing.
This article introduces the technical evolution of Apache Flink during its application in Kuaishou and Kuaishou's future plans regarding Apache Flink.
This blog shares how Lyft built a large-scale near real-time data analytics platform based on Apache Flink.
This article describes the new features, improvements, and important changes of Flink 1.11 and Flink's future development plans.
Jason addresses the bugs and compatibility issues with Flink-Hive by operating on a Hive database using Flink SQL to demonstrate some of the features provided.
Jason introduces the architecture of Hive integration in Flink, discusses problems, and how to solve them.
Li Jinsong and Li Rui, Alibaba Technical Experts, talk about the features, revisions, and improvements of Apache Flink 1.11.
Yu Teng and Haikai Zhao, Dell EMC, introduce the evolution of big data architectures, advanced features of Pravega, and scenarios of the Internet of Vehicles.