BCS Open Source group session covering distributed stream processing, with a special focus on Apache Flink and its open-source ecosystem.
Agenda
7:00pm - Event start
7:05pm - Presentation
7:50pm - Q&A
8:00pm - Event close
Synopsis
In today's data-driven world, processing large volumes of streaming data in real-time has become crucial for modern applications. This presentation delves into the world of distributed stream processing, with a special focus on Apache Flink and its open-source ecosystem. The session begins with an introduction to stateful stream processing, exploring fundamental concepts and real-world use cases. We'll examine Apache Flink's architecture in detail, highlighting its unique features for handling state management, event time processing, and exactly-once semantics. The discussion will expand to compare various open-source alternatives in the stream processing landscape, helping attendees understand the strengths and trade-offs of different solutions. We'll also explore the vibrant open-source community around these technologies and discuss ways to contribute to their development. This technical talk is designed for software engineers, architects, and technology enthusiasts interested in distributed systems and stream processing. The session will conclude with an interactive Q&A, providing attendees the opportunity to engage in deeper technical discussions.
About the speaker
Ravi Magham
Ravi Magham is a data driven result oriented engineering leader with a passion to build scalable distributed data platforms and an active open source contributor. He works at Lyft as a senior staff software engineer with a focus on Apache Fink. He has deep expertise with the Big-Data landscape, data and feature engineering, data profiling and building analytical products.
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This event is brought to you by: Open Source specialist group
