When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.
Apache Flink | A Real Time & Hands-On course on Flink
A Complete In-depth and Hands-On course on a technology better than Spark for Stream processing i.e. Apache Flink
This Course Includes
udemy
4.4 (2.5K reviews )
5h 49m 
english
Online - Self Paced
professional certificate
Udemy
About Apache Flink | A Real Time & Hands-On course on Flink
Note (2025) : All the codes are updated with latest Flink version.
Apache Flink is considered as the successor to Hadoop and Spark. It is the next generation Big data engine for Stream processing. If Hadoop represents 3G and Spark is 4G, then Apache Flink can be seen as the 5G in Big data stream processing frameworks. Apache Flink is the latest Big data technology and is rapidly gaining momentum in the market.
It is assumed that same like Apache Spark replaced Hadoop, Flink can also replace Spark in the coming near future.
Demand of Flink in market is already swelling.
Many big companies from multiple industry domains have already started using Apache Flink to process their Real-time Big data and thousands other are diving into. _What's included in the course ?_
Complete Apache Flink concepts explained from
Scratch to Real-Time implementation.
Each and Every Apache Flink concept is explained with a
HANDS-ON
Flink code of it.
Includes even those concepts, the explanation to which is not very easily available online.
_For Non-Java developer's help, All Flink Java codes are explained line by line in such a way that even a non -technical person can understand._
Flink codes and Datasets used in lectures are attached in the course for your convenience.
All the codes are updated with latest Flink version.
Implement 3 Real-time Case Studies using Flink.
What You Will Learn?
- Learn a cutting edge, 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 - 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..