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Batch Processing

vivo's Lakehouse Integration Practice Based on Paimon

This article is compiled from the presentation by Xu Yu, an internet big data expert at vivo and Apache Paimon Committer, during the Flink Forward Asia 2024 Streaming Lakehouse session (Part One).

Flink SQL 101: Embrace Unified Stream and Batch Processing

This article introduces Flink SQL, a unified stream-batch processing engine, focusing on key concepts like Stream-Table Duality, event time/watermarks.

Compare Flink SQL and DataStream API: Comprehensive Guide for New Developers

Apache Flink is a stream processing framework with two main interfaces: Flink SQL, which uses SQL for batch and streaming data, and the DataStream API...

Flash: A Next-gen Vectorized Stream Processing Engine Compatible with Apache Flink

This article is based on a presentation by Mr. Wang Feng (nickname: Mowen), senior director at Alibaba Cloud and head of the open source big data de.

FLIP-1:How to handle task failure: Flink's intelligent recovery strategy

This is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.

The Evolution of the Batch Processing Model in Apache RocketMQ

This article introduces the upgrades and optimizations made to the batch processing model in RocketMQ.

Big Data Cloud Fighter Bootcamp

This article introduces the Big Data Cloud Fighters bootcamp, which provides an intensive, hands-on experience in mastering big data principles and technologies.

Build an All-in-one Real-time Data Warehouse (Code-level) Based on AnalyticDB for PostgreSQL

This article introduces the process of building an all-in-one real-time data warehouse using AnalyticDB for PostgreSQL at the code level.

Introduction to Unified Batch and Stream Processing of Apache Flink

Unified batch and stream processing of Flink is a well-established concept in the stream computing field.

Understanding Batch Processing vs Stream Processing: Key Differences and Applications

Explore the differences between Batch Processing vs Stream Processing and their applications in data management for better decision-making.

Data Lake for Stream Computing: The Evolution of Apache Paimon

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.

Apache Flink Has Become the De Facto Standard for Stream Computing

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.

Apache Flink Tutorial: Master Real-time Data Processing

Ready to dive into real-time data processing? Learn Apache Flink basics & set up with Alibaba Cloud's Realtime Compute for Apache Flink.

Understanding Stream Processing: Real-Time Data Analysis and Use Cases

Learn about stream processing, its applications, challenges, and Alibaba Cloud's Realtime Compute for Apache Flink solution for real-time data analysis.

What is Batch Processing ?

Batch processing is a method of handling data where transactions are collected over a period and processed together as a group, or batch.

Announcement of the Release of Apache Flink 1.18

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.

Learning about Distributed Systems - Part 27: From Batch Processing to Stream Computing

Part 27 of this series discusses distributed systems in terms of throughput and latency.

Announcement of the Release of Apache Flink 1.17

Apache Flink, a leading stream processing standard, has released version 1.17.0, which includes new features and improvements.

Apache Flink Table Store 0.3.0 Release Announcement

The Apache Flink community has released version 0.3.0 of the Flink Table Store, which includes many new features and improvements.

More Than Computing: A New Era Led by the Warehouse Architecture of Apache Flink

Mowen discusses the future of Apache Flink regarding its core capabilities of stream computing and improving the processing standards of the entire industry.