This article introduces StreamingView, AnalyticDB for PostgreSQL's native incremental engine that delivers efficient real-time materialized views for AI-scale data without redundant movement.
TikTok transitioned to a unified Lakehouse architecture, powered by Apache Paimon, to optimize large-scale recommendation models (LRMs) that utilize user behavior sequences.
Explore Flink 2.0's evolution in state management, from core primitives to cloud-native architecture and next-gen incremental computation.
Discover how Grab leverages Apache Flink for real-time analytics and data quality, transforming raw data into actionable insights.
Discover how Lazada Group built a large-scale e-commerce product selection platform using Apache Flink and Hologres for real-time analytics and stream processing.
Master Flink SQL fundamentals with Stream-Table Duality, event time, and watermarks. Build unified stream-batch processing pipelines for modern data engineering.
Master Apache Flink FLIP-4 enhanced window evictor for flexible data eviction. Learn real-time quality control, anomaly detection, and production window processing strategies.
Master Apache Flink FLIP-1 intelligent task failure recovery strategies. Learn partial recovery, smart intermediate data management, and fault toleran...
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...
This is Technical Insights Series by Perry Ma | Product Lead, Real-time Compute for Apache Flink at Alibaba Cloud.
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.
Unified batch and stream processing of Flink is a well-established concept in the stream computing field.
This step-by-step tutorial introduces how to get started with Flink MySQL Connector in 5 minutes.
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).
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.
Discover Flink SQL, the high-level API for executing SQL queries across streaming and batch data sets in Apache Flink.
Discover the power of Complex Event Processing (CEP) in deciphering real-time cause-and-effect relationships from diverse data streams.
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.
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.
