Shekhar Prasad Rajak
Shekhar is passionate about Open Source Softwares and active in various Open Source Projects. He has contributed SymPy, Ruby gems like: daru, daru-view (author), Bundler, NumPy & SciPy. He has successfully completed Google Summer of Code 2016, 17, also worked as Admin for SciRuby & mentored. Shekhar was speaker at RubyConf 2018, PyCon 2017, ApacheCon 2020 on “Running ML algorithms with ML tools available in Apache Ecosystem” & “Cluster Management in Apache Ecosystem & Kubernetes”.
Sessions
As the volume of real-time data continues to surge, businesses are under increasing pressure to process this data with speed and accuracy. Apache Flink emerges as a powerful solution, excelling in the realm of real-time stream processing by providing low-latency data handling and advanced capabilities for managing out-of-order events. This talk is designed for intermediate Python developers who want to explore how Flink's unique features—like its sophisticated time and windowing mechanisms—enable it to deliver exactly-once semantics, ensuring reliability even in the most demanding scenarios.
We’ll also compare Flink with Kafka, illustrating where Flink outperforms in complex event processing and dynamic windowing tasks. Through real-world examples, you’ll see how Flink is being used to detect fraud in financial services, optimize ride-sharing routes, and more, all while maintaining high throughput and low latency. Additionally, the talk will cover how Flink can simplify and accelerate ETL pipelines, making it an indispensable tool for modern data-driven applications.