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How Denormalized is Building ‘DuckDB for Streaming’ with Apache DataFusion

Tech on the Rocks

CHAPTER

Navigating Streaming Data Complexities

This chapter explores the intricate challenges of state management in stream processing, highlighting techniques such as windowing and disk spilling to enhance performance. It also addresses fault tolerance, checkpointing, and the contrasting needs of distributed versus single-node systems in real-world applications. Additionally, the discussion extends to the innovative capabilities of Data Fusion and its integration with streaming data systems, focusing on the evolving landscape of user-friendly data processing tools.

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