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Tencent Cloud Developer
Tencent Cloud Developer
Nov 9, 2021 · Big Data

Comprehensive Overview of Apache Flink Streaming Computation and Architecture

The article systematically introduces Apache Flink’s streaming computation model, contrasting batch and real‑time processing, detailing its unified architecture, managed and raw state with key groups, checkpointing and savepoints for fault tolerance, data exchange mechanisms, time semantics, windowing, side‑outputs, and a complete Java Kafka‑based example.

Apache FlinkCheckpointFlink Architecture
0 likes · 46 min read
Comprehensive Overview of Apache Flink Streaming Computation and Architecture
Byte Quality Assurance Team
Byte Quality Assurance Team
May 19, 2021 · Big Data

Streaming 102: The World Beyond Batch

This article extends the concepts introduced in Streaming 101 by deeply exploring data processing patterns for unbounded data, covering windowing, watermarks, triggers, accumulation modes, and their practical implications for building robust low‑latency streaming pipelines.

Big DataStreamingTriggers
0 likes · 14 min read
Streaming 102: The World Beyond Batch
JD Tech Talk
JD Tech Talk
Aug 2, 2018 · Big Data

Real-Time Order Statistics with Apache Flink in a Data Aggregation Platform

This article explains how the data aggregation platform adopts Apache Flink for high‑throughput, low‑latency stream processing, covering the complete workflow from data source integration, transformation operations, windowing and time concepts, to a concrete order‑count example with custom aggregation logic.

Apache FlinkBig DataFlink
0 likes · 10 min read
Real-Time Order Statistics with Apache Flink in a Data Aggregation Platform