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
4.25 (2347 reviews)
20 801
students
6 hours
content
Aug 2024
last update
$74.99
regular price
What you will 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.
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Our Verdict
This Udemy course, titled "Apache Flink | A Real Time & Hands-On course on Flink," is an insightful deep dive into the cutting edge stream processing framework promoted as faster than Hadoop and Spark. Although code examples are outdated, the course effectively complements official documentation with comprehensive explanations and hands-on examples across various transform operations. The instructor provides real-life case studies but should focus on enhancing content presentation, reducing typos, improving formatting for better readability, and incorporating practical sources/sinks examples to maintain its relevance within the rapidly advancing Apache Flink landscape.
What We Liked
- Covers fundamental and advanced concepts of Apache Flink including architecture, programming model, and real-time use cases.
- Includes hands-on examples that help students understand working of each Flink component, with code and datasets available for practice.
- Complementary to official documentation, providing clear explanations for specific portions and use cases.
- Real-life case studies give valuable insight into practical implementations
Potential Drawbacks
- Code examples are outdated and formatted poorly, reducing readability and understandability.
- Course materials suffer from typos, unclear instructions for assignments, and inconsistent formatting.
- Lacks in-depth coverage of additional concepts mentioned in the official documentation.
- Could benefit from more visually-enhanced explanations and real-world sources/sinks examples (e.g., Kafka).
Related Topics
1692878
udemy ID
14/05/2018
course created date
08/08/2019
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