Apache Flink: Build Real-Time Streaming Data Pipelines

[/img]
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.

You do not have permission to view the full content of this post. Log in or register now.

You do not have permission to view the full content of this post. Log in or register now.