Alibaba Cloud presents key optimizations in Flink-Paimon real-time lakehouse architecture, including the Variant data type for efficient semi-structur...
Apache Flink Agents: A landmark collaboration to build a scalable, production-grade framework for event-driven streaming agents powered by Apache Flink.
FLIP-18: Boost Flink's sorting efficiency with code generation, optimizing memory access and byte order handling.
FLIP-17 introduces side inputs to Apache Flink's DataStream API for more flexible and efficient stream processing with auxiliary data.
FLIP-16 explores and addresses the challenges of reliable iterative stream processing in Flink, highlighting memory, complexity, and performance issue.
TikTok transitioned to a unified Lakehouse architecture, powered by Apache Paimon, to optimize large-scale recommendation models (LRMs) that utilize user behavior sequences.
This article introduces how stream data analytics empower businesses to harness real-time data for faster, smarter decision-making and enhanced competitiveness.
Explore Flink 2.0's evolution in state management, from core primitives to cloud-native architecture and next-gen incremental computation.
Learn how Apache Flink CDC accelerates real-time data ingestion in modern lakehouse architectures, enabling seamless and efficient data processing.
Discover Apache Paimon: real-time lake storage with Iceberg compatibility, optimized for streaming and multimodal AI applications.
Flink Agents: An event-driven AI framework on Apache Flink for real-time, scalable, and autonomous AI applications.
Discover how Grab leverages Apache Flink for real-time analytics and data quality, transforming raw data into actionable insights.
Master Apache Flink FLIP-13 side outputs for flexible data processing. Handle corrupted data, late arrivals, and multi-stream routing with OutputTag and CollectorWrapper patterns.
Discover Apache Flink FLIP-14 CrossGroup operator for efficient data pairing and graph analysis. Optimize memory usage, reduce Cartesian products, and enhance social network processing.
Learn Apache Flink FLIP-15 smart iterations with StreamScope and intelligent termination. Master backpressure optimization, deadlock prevention, and advanced loop processing for real-time analytics.
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.
We will first introduce the business background of Alibaba Mama's advertising platform, then explore the design and evolution of its real-time advertising system and data lake architecture.
Discover how Alibaba Cloud Realtime Compute for Apache Flink transforms enterprise streaming data processing.
Explore Apache Flink's Materialized Table for unified stream-batch ETL. Learn declarative data processing and overcome Lambda architecture challenges.
Build real-time MySQL-to-Kafka data pipelines using Flink CDC YAML without coding. Complete tutorial with whole database sync and schema changes.
