Lisandumisi

Lisandumisi is a term used in information management to denote the process of adding new data elements to an existing collection or dataset, especially in incremental or streaming contexts. The concept foregrounds the ongoing nature of updates rather than a single bulk load. In practice, lisandumisi encompasses the methods and rules that govern how new items are appended, reconciled, and indexed within a system.

Etymology: The word appears to be derived from the Estonian lisandumine, meaning "the act of adding" or "addition," though its use as a technical label is not standardized across languages.

Technical use and characteristics: Key aspects include append-only ingestion, idempotent writes to avoid duplicates, ordering guarantees (such as by a monotonic timestamp), deduplication where necessary, and conflict resolution when concurrent streams supply overlapping data. Lisandumisi workflows may involve data validation, schema evolution, and index maintenance to ensure query performance.

Applications: It is relevant in data lakes, event streams, log aggregation, and real-time analytics pipelines. A typical lisandumisi workflow receives a continuous feed of records, assigns append-only storage positions, and updates derived views or materialized indices.

See also: data ingestion, incremental update, streaming data, append-only storage, event sourcing.