Apache Flink is a robust distributed system and computational engine designed for stateful big data streaming. In simpler terms, Apache Flink is a library that empowers you to process large volumes of data at scale, as it arrives, providing near real-time results. Flink offers a variety of APIs for functional programming on streaming data, along with low-level APIs that provide ultimate control. It also supports numerous connectors to popular services like Kafka, JDBC, Cassandra, Pulsar, S3, and a range of data processors and storage systems. This course is designed to help you become productive with Flink, enhancing your skills as a data engineer.
What You Will Learn
This course will provide you with everything you need to be proficient with Flink:
- Gain a deep understanding of the Flink streaming engine and its inner workings
- Apply functional programming techniques to data streams
- Process any type of data in real-time at scale
- Master complex transformations, including window functions
- Perform stateful computations, leveraging Flink's main strengths
- Connect Flink to popular message buses, data streaming, and data storage systems
- Design custom connectors for specific needs
- Deploy Flink applications on a cluster effectively
- Troubleshoot and acquire relevant insights using the Flink UI
Upon completing this course, you'll have the capacity to process data using Flink in any way you require.
Long-Term Benefits
Beyond technical skills, this course will help you build timeless abilities that will benefit your career in data engineering, regardless of the data streaming tool you choose in the future:
- Develop a deep understanding of the practical benefits of streaming data
- Effectively work with both event time and processing time
- Grasp the implications and trade-offs between latency and throughput
- Understand the necessity of data consistency and persistence
