This article introduces the process of building an all-in-one real-time data warehouse using AnalyticDB for PostgreSQL at the code level.
Unified batch and stream processing of Flink is a well-established concept in the stream computing field.
Explore the differences between Batch Processing vs Stream Processing and their applications in data management for better decision-making.
Uncover the advancements from Apache Hive to Hudi and Iceberg in stream computing, as our expert navigates the transformative landscape of real-time data lakes.
This article is based on a keynote speech given by WANG Feng, initiator of Apache Flink Community China and head of Open-Source Big Data Platform at Alibaba Cloud, at Flink Forward Asia 2023.
Ready to dive into real-time data processing? Learn Apache Flink basics & set up with Alibaba Cloud's Realtime Compute for Apache Flink.
Learn about stream processing, its applications, challenges, and Alibaba Cloud's Realtime Compute for Apache Flink solution for real-time data analysis.
Batch processing is a method of handling data where transactions are collected over a period and processed together as a group, or batch.
The Apache Flink PMC is pleased to announce the release of Apache Flink 1.18.0. As usual, we are looking at a packed release with a wide variety of improvements and new features.
Part 27 of this series discusses distributed systems in terms of throughput and latency.
Apache Flink, a leading stream processing standard, has released version 1.17.0, which includes new features and improvements.
The Apache Flink community has released version 0.3.0 of the Flink Table Store, which includes many new features and improvements.
Mowen discusses the future of Apache Flink regarding its core capabilities of stream computing and improving the processing standards of the entire industry.
This article introduces the research and development background and the design and use of Flink Remote Shuffle.
Part 1 of this 2-part article introduces RxJava and explores its usage.
Part 2 of this 2-part article explores the basic principles and precautions of RxJava.
MaxCompute (originally ODPS) is a Big Data processing platform used for batch structural data storage and processing, to provide massive data warehouse solutions and data modeling.
This article shares the results of explorations into real-time data warehouses focusing on the evolution and best practices for data warehouses based on Apache Flink and Hologres.
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.
A discussion of how unifying batch and real-time processing in data warehouses can promote integrated computing.
