jelenlététl

Jelenlététl is a neologism used in Hungarian-language discourse to describe a framework that treats a person’s or object’s presence as data that can be processed through an ETL-style pipeline. The term merges jelenlét, meaning presence, with ETL, a familiar concept from data engineering. It is not a widely established field but appears in speculative and academic discussions.

In practice, jelenlététl refers to a theoretical approach in which signals indicating presence—such as activity status, location pings, device state, or social interactions—are extracted from diverse sources, transformed into a common representation, and loaded into a central model or repository for analysis or interoperability across systems.

The concept is mainly discussed in experimental or critical contexts and lacks formal standards or governance. Proponents see it as a way to systematize cross-platform presence data, while critics warn of privacy, consent, and the risk of normalizing surveillance.

Possible applications include digital sociology research, user experience design, smart environments, and privacy-aware data systems. It is often mentioned as a hypothetical framework rather than an implemented methodology.

See also ETL, data integration, presence technology; related discussions commonly address data ethics, consent, and privacy implications in the handling of presence signals.