DE Applications: Intermediate

Concepts: pyBinarySearchPartition, pyLogThreshold, pyBtreeSearch

The intermediate binary search patterns map directly onto the kinds of problems data engineers deal with at scale. Range partitioning is a binary search on the answer (where should this row go?). Threshold detection in logs is a first-occurrence binary search. B-tree lookups are binary search on sorted pages. Knowing this is not just a fun fact -- it is the kind of system-level connection that gets you points in system design rounds. Range Partitioning: Binary Search for the Right Bucket Hive, BigQuery, and custom partitioned data lakes often use range partitioning: rows with partition key in [lo, hi) go to a specific shard. Given a sorted list of partition boundaries, finding which shard a key belongs to is bisect_right minus 1. This is the same binary-search-on-answer pattern: the 'answe