Apache Flink: Unlocking the Power of Real-Time Data Processing

In today’s data-driven world, the ability to process and analyze data in real time is no longer a luxury—it’s a necessity. Apache Flink, a powerful stream processing framework, has emerged as a game-changer for handling high-throughput, low-latency data applications.

In this session, you’ll gain a clear understanding of what Apache Flink is, how it works, and why it’s become a cornerstone for modern data infrastructure. We’ll explore key features such as its robust stream and batch processing capabilities, event-time handling, stateful computations, and fault tolerance. You’ll also discover how Flink integrates seamlessly with popular systems like Kafka, Kubernetes, and major cloud platforms.

Whether you’re working with real-time analytics, event-driven applications, or machine learning pipelines, Apache Flink provides the scalability and flexibility needed to turn massive streams of data into actionable insights. Join us to see why Flink is critical to modern data ecosystems and learn how to start leveraging its power in your projects.

About Daniel Hinojosa

Daniel is a programmer, consultant, instructor, speaker, and recent author. With over 20 years of experience, he does work for private, educational, and government institutions. He is also currently a speaker for No Fluff Just Stuff tour. Daniel loves JVM languages like Java, Groovy, and Scala; but also dabbles with non JVM languages like Haskell, Ruby, Python, LISP, C, C++. He is an avid Pomodoro Technique Practitioner and makes every attempt to learn a new programming language every year. For downtime, he enjoys reading, swimming, Legos, football, and barbecuing.

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