Apache DataFusion is an open-source query execution framework designed for big data analytics. It is written in Rust and is part of the Apache Arrow ecosystem. DataFusion provides a high-performance, distributed SQL query engine that enables developers to process large datasets using SQL, while benefiting from the efficiency of the Rust programming language and Arrow's in-memory columnar data format.
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The article discusses how organizations can leverage platform engineering principles to accelerate the development and deployment of generative AI applications. It highlights the challenges faced by organizations in experimenting with generative AI and emphasizes the importance of building reusable components to manage costs and improve efficiency. The article outlines the architecture of generative AI applications, including the integration of various data layers and the role of large language models. It also covers best practices for observability, orchestration, and governance in AI workflows.
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