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Explore advanced data streaming patterns and overcome critical challenges that experienced engineers often encounter when building robust stream processing applications. Discover the hidden complexities of real-world data streaming beyond basic concepts, including consistency issues, complex joins, and scaling considerations for AI applications. Learn from Confluent expert and O'Reilly author Adi Polak as she reveals common pitfalls in effective data stream processing and shares invaluable insights for senior engineers and architects transitioning from batch or application development to distributed streaming environments. Understand why adopting an "unlearn" mindset is crucial for success in streaming architectures and master advanced techniques for implementing high-performance, resilient data pipelines. Gain practical knowledge about exactly-once processing guarantees, distributed systems challenges, and architectural patterns that ensure scalable and reliable streaming solutions for modern data engineering requirements.
