Glossary Library

Technical GlossaryData Engineering and AI Infrastructure

File Pruning

An optimization technique that improves data lake performance by avoiding scans of unnecessary files during queries.

File pruning is a critical optimization technique for improving data lake query performance. By using partition information, file statistics, or metadata, irrelevant files can be excluded from scanning. This significantly reduces read cost and latency. In large-scale lake environments, queries become unnecessarily expensive without pruning.

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Explore these concepts to continue your artificial intelligence journey.

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Optimization

The process of systematically improving model parameters according to an objective function in order to increase performance.

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Gradient Descent

A fundamental optimization method that updates parameters in the opposite direction of the gradient to minimize a loss function.

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Stochastic Gradient Descent

An optimization approach that updates parameters using single examples or small subsets instead of the full dataset at each step.