October 2019
Beginner
3h 14m
English
Overview
In this 3 hr course, you will learn how to effectively process and transform data using Apache Flink. From building a Flink environment to mastering its API for batch and streaming data, you'll gain a comprehensive understanding of this powerful distributed processing engine and its capabilities.
What I will be able to do after this course
- Build and configure a functional Apache Flink development environment.
- Process and monitor real-time data streams using distributed interfaces.
- Develop complex data processing pipelines for batch and streaming analytics.
- Implement real-time event processing and automated transformations with Flink.
- Use Flink's built-in UI to visualize and manage streaming applications.
Course Instructor(s)
Sridhar Alla, the instructor, is a seasoned big data expert with years of hands-on experience in data processing technologies, including Apache Flink. Sridhar has a passion for teaching complex topics in a simple and approachable manner, ensuring learners can confidently apply the concepts to real-world scenarios. Through examples and clear demonstrations, he focuses on making each subject interactive and practical.
Who is it for?
This course is ideal for data engineers, software developers, and big data professionals who wish to sharpen their skills in distributed data processing. It is especially suitable for those with a fundamental knowledge of big data concepts and Java or Scala programming, aiming to enhance their expertise in real-time analytics and data transformation.