Compiler-Enhanced Language for Scalable Data Workflows
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This paper introduces a sophisticated programming language specifically designed for high-performance, dataparallel operations across diverse data types, including streams and data frames. Our framework integrates with advanced compiler infrastructure to facilitate the efficient translation and deployment of data-intensive programs on distributed systems. This innovative language aims to simplify the development of robust, scalable data science applications by abstracting away low-level distributed programming complexities and enabling powerful domain-specific optimizations.