Glossary Library

Technical GlossaryData Engineering and AI Infrastructure

Partition Pruning

An optimization technique that reduces cost by processing only relevant partitions in batch jobs and queries.

Partition pruning reduces runtime and cost by preventing irrelevant partitions from being scanned during data processing. It can make a substantial difference, especially in large date-based batch workloads. However, it works well only when partition design is aligned with query and job access patterns. Effective pruning directs computation toward what is truly needed rather than the full data volume.

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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.