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This project is a simplified demonstration of a real-world big data project, showcasing efficient handling of large-scale datasets using PySpark and Apache Iceberg. This repository includes 5 sample datasets to replicate real-world scenarios, focusing on memory and time optimization while writing tables in Iceberg
siam29/processor
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This project is a simplified demonstration of a real-world big data project, showcasing efficient handling of large-scale datasets using PySpark and Apache Iceberg. This repository includes 5 sample datasets to replicate real-world scenarios, focusing on memory and time optimization while writing tables in Iceberg
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