Apache Flink: Apache Flink 1.2 beginner
- 4 Courses | 2h 41m 10s
Explore Apache Flink, a powerful stream processing framework for real-time data processing. This channel is designed to help you understand and master the core concepts of Apache Flink.
COURSES INCLUDED
Introduction to Apache Flink
Apache Flink is a sophisticated framework designed for handling continuous data streams. In this course, explore the essential and advanced features of Apache Flink and how it can be used to achieve real-time data processing, ensure minimal latency, and maintain high throughput. Next, discover Apache Flink's powerful state management, fault tolerance, and scalability capabilities, as well as fraud detection, recommendation engines, and IoT data handling. Finally, compare Apache Flink with other frameworks and real-world use cases where Apache Flink shines. After completion of this course, you will be able to utilize the power of real-time data with Apache Flink.
10 videos |
42m
Assessment
Badge
Apache Flink Programming Basics
Apache Flink is an influential framework recognized for its prowess in managing stream and batch processing while maintaining high throughput and low latency. Its advanced state management and event time semantics make it a top choice for real-time data processing tasks. In this course, explore the core concepts of Flink programming, including the anatomy of a Flink program, writing and creating a Flink application, and common operations in the DataStream and DataSet APIs. Next, learn about transformations in Flink, data filtering, and aggregation functions. Finally, examine key Flink time concepts and compare Flink windowing strategies. After completion of this course, you will be able to utilize the power of real-time data with Apache Flink.
40m
Assessment
Badge
Advanced Flink Programming
In today's data-driven world, mastering real-time data processing is crucial. Apache Flink is a powerful stream processing framework and an essential tool for real-time data processing. In this course, explore advanced concepts and techniques in Flink programming, including stateful stream processing, the types and use cases of states, and the available connectors for integrating Flink with external systems. Next, learn about event time processing and advanced windowing techniques. Finally, discover performance optimization strategies to identify and resolve performance bottlenecks, the role and usage of custom serialization, and how Flink ensures fault tolerance and data consistency in real-time data processing. After completing this course, you will be able to optimize Flink jobs for performance and efficiency, ensuring your applications run smoothly.
45m
Assessment
Badge
Managing Flink Applications
Apache Flink is a powerful stream processing framework that's essential for real-time data processing. When properly managed, it allows you to handle large-scale data streams with low latency and high throughput. In this course, learn about the deployment modes available for Flink, how to submit and manage Flink jobs, and the lifecycle of a Flink job. Next, explore the key metrics used to monitor Flink applications and how to access and interpret metrics using the Flink Web UI. Finally, discover common issues that can occur in Flink applications and Flink's built-in fault tolerance mechanisms. After completing this course, you will have a comprehensive understanding of the lifecycle of a Flink job and the tools available to ensure its success.
32m
Assessment
Badge
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