Apache Flink | A Real Time & Hands-On course on Flink

A Complete In-depth and HANDS-ON practical course on a technology better than Spark for Stream processing - Apache Flink

Created by: J Garg - Real Time Learning
Data Engineering, Analytics and Cloud Trainer

What Will I Learn?

• Learn a cutting edge and Apache's latest Stream processing framework which is much faster than Hadoop and Spark - Apache Flink.
• Learn Apache Flink fundamentals including its Architecture, Programming model, Comparison with Hadoop and Spark.
• Multiple Transform Operations of Dataset and DataStream API.
• Understand the working of each and every component of Apache Flink with HANDS-ON examples.
• Advance topics of Windowing, Triggers, Checkpointing, State, Fault tolerance, Watermarks, Late elements and many more.
• Flink's Relational APIs - Table API, SQL API + Flink's Graph API - Gelly API
• Build and Implement 3 Real-time Business Case Studies using Flink.
• Data-sets and Flink codes used in lectures are available in resources tab.

Requirements

• Basic knowledge of Distributed Frameworks.
• Basic knowledge of OOPS.
• Rest everything about Apache Flink is covered in this course with Practicals.

Target audience

• Students who want to learn Apache Flink from SCRATCH to its Live Project Implementation.
• Who are new to Stream processing and want to learn a Stream processing framework which is better than Spark.
• Software engineers who feel they missed an early opportunity to get into Hadoop & Spark.
• Hadoop & Spark Developers who want to upgrade themselves to Apache's latest Big Data Streaming Engine.