Techniques for Processing Massive Data: Sorting, Querying, Top‑K, and Deduplication
This article explains core concepts and practical solutions for handling massive datasets that cannot fit into memory, covering batch processing, distributed sorting, bitmap indexing, hash‑based lookups, top‑K extraction, and deduplication techniques with code examples and multi‑machine strategies.