Apache Flink: Build Real-Time Streaming Data Pipelines
 

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Apache Flink: Build Real-Time Streaming Data Pipelines
Published 10/2026
Created by ACHRAF ER-RAYA
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 7 Lectures ( 1h 12m ) | Size: 725.5 MB

Build Apache Flink streaming pipelines with DataStream API, Kafka, event time, windows, state, checkpoints, and outputs.

What you'll learn
⚡ Ingest low-latency, real-time data streams from Apache Kafka and CDC connectors using the production-ready Flink Source API.
⚡ Process stateful event streams using the Flink DataStream API with tumbling, sliding, and session event-time windows.
⚡ Configure event watermarks, custom late-data handling, and RocksDB state backends for scalable out-of-order stream processing.
⚡ Build fault-tolerant pipelines with transactional two-phase commit sinks, distributed checkpoints, and automated state recovery.

Requirements
❗ Basic familiarity with Java or Object-Oriented Programming (OOP) concepts, along with fundamental understanding of command-line tools and software development basics. No prior experience with Apache Flink or real-time stream processing is required.

Description
This course contains the use of artificial intelligence.

Master real-time data processing with Apache Flink. Build scalable, fault-tolerant, high-throughput streaming pipelines from scratch using production standards.

Who this course is for
⭐ Data engineers, software developers, backend engineers, and system architects who want to master real-time distributed stream processing and build production-grade event-driven pipelines using Apache Flink and Java.