Apache Flink Course Overview

The Apache Flink course offers comprehensive training for learners aiming to master stream processing and Real-time Data Analytics. It is designed to help participants gain a solid foundation in Apache Flink, equipping them with the skills needed to build scalable stream processing applications.

Module 1: Introduction to Stream Processing and Apache Flink introduces the basics of stream processing, its importance, and how Apache Flink fits into this landscape.

Module 2: Runtime Architecture delves into the internal workings of Flink, including its Distributed Architecture and Task Execution.

Module 3: Foundations of the DataStream API focuses on the core API for stream processing in Flink, teaching learners how to define and execute data flows.

Module 4: Data Pipelines and Stateful Stream Processing covers how to build data pipelines and manage state in a distributed environment.

Module 5: Event Time and Watermarks introduces Event Time Processing and the use of watermarks for handling out-of-order events.

Module 6: Process Functions, Side Outputs, and Timers explores advanced functions, side outputs for splitting streams, and using timers.

Module 7: Windows and Streaming Analytics provides knowledge on windowing functions for temporal data analysis.

Module 8: State Backends explains the configuration and use of different state backends for state management.

Module 9: Fault Tolerance covers Flink’s Fault Tolerance Mechanisms and Checkpointing.

Module 10: Connector Ecosystem reviews the connectors available for integration with various data sources and sinks.

Module 11: Application Evolution: Rescaling, Upgrades, State Migration discusses strategies for maintaining and evolving Flink applications over time.

Module 12: Intro to Flink SQL and the Table API introduces SQL and Table API for unified stream and batch processing.

Module 13: Use Cases and Application Patterns provides insights into practical applications and patterns for Flink.

Module 14: Testing offers guidance on testing Flink applications to ensure reliability and correctness.

By the end of the course, participants can aim for an Apache Flink certification, proving their expertise in the field. This Apache Flink course is beneficial for data engineers, data scientists, and developers interested in real-time data processing and analytics.