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.
This article discusses how to migrate data from Hive to MaxCompute using MaxCompute Migration Assist (MMA) and its functions, technical architecture, and implementation principles.
This blog compares the performance of Flink 1.10 against Hive 3.0 using the TPC-DS Benchmark 10-TB dataset and 20 hosts to test 3 engines.
This article describes the integration of Hive with Apache Flink 1.9.0 and discusses this feature from the perspectives of design architecture, the latest progress, and usage instructions.
In January Alibaba announced Blink would become open-source and contribute to Apache Flink's code—now this has come to Fruition.
Apache Flink 1.9.0 is an important update that integrates many of the features of Alibaba's Blink, including batch recovery for batch jobs and a Blink-based query engine.
This article goes through the process of rewriting execution plans in the Spark Relational Cache on EMR.