Author

Ivan Iachnyk

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Preprint Oct 2026

The Case for Synthesized Data Compression

Compression is a fundamental tool in data management. Today's compression schemes are generally designed by hand to apply to many different types of data (e.g., run length encoding or arithmetic encoding), leading to a zoo of general-purpose algorithms which work well for many datasets, but may not be optimal for any s...

Ivan Iachnyk, Mihail Stoian, Luisa Neubauer et al. · 0 citations

Preprint Jul 2026

Hollywood: Towards a Large Movie Dataset for Database Benchmarking

Hollywood is introduced, a synthetic IMDb-compatible benchmark generator that combines LLM-generated semantic dictionaries with deterministic temporal-graph-based relational data generation and demonstrates that Hollywood induces cardinality estimation errors comparable to or exceeding those observed on the original IM...

Ivan Iachnyk, Mihail Stoian, Andreas Kipf · 0 citations