×
Stream Processing

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.

Apache Flink FLIP-4: Enhanced Window Evictor for Flexible Data Eviction Before/After Processing

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

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...

Apache Flink FLIP-2: Context-Aware Window Functions for Real-Time Analytics

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

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.

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.

Hands-on Labs | Get Started with Flink MySQL Connector in 5 Minutes

This step-by-step tutorial introduces how to get started with Flink MySQL Connector in 5 minutes.

Accelerated Integration: Unveiling Flink Connector's API Design and Latest Advances

This article is compiled from the presentation by Ren Qingsheng, committer and PMC member of Apache Flink, at the Flink Forward Asia 2023 core technology session (Part 2).

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.

Understand Flink SQL: Real-Time SQL Query Execution for Stream and Batch Data

Discover Flink SQL, the high-level API for executing SQL queries across streaming and batch data sets in Apache Flink.

Complex Event Processing (CEP): A Comprehensive Guide

Discover the power of Complex Event Processing (CEP) in deciphering real-time cause-and-effect relationships from diverse data streams.

The Next Step of Flink CDC

This article is based on a keynote speech given by Jark Wu, head of Flink SQL and Flink CDC at Alibaba Cloud, during Flink Forward Asia 2023.

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.

Practice of Flink 2.0 State Storage-computing Separation

This article provides an overview of the research on the transformation practice of Flink 2.0 state storage-computing separation.

What is Apache Flink ?

Learn about Apache Flink, a distributed data processing engine for real-time analytics. Explore its features, use cases, and comparisons with other frameworks like Kafka and Spark.

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.