feldolgozásiátviteli

Feldolgozási átviteli is a concept in information systems referring to the end-to-end flow of data from collection and processing to its delivery to downstream systems or users. It encompasses the stages of data acquisition, processing, encoding and formatting, and transmission.

In practice it appears in information technology and industrial contexts, where raw sensor data, logs, or transactions are transformed into usable information and sent to databases, analytics platforms, or control systems. It often involves edge processing to reduce data volume and latency, and centralized processing for heavier analytics or long-term storage.

Architectures of feldolgozási átviteli pipelines include batch processing and real-time streaming, typically organized as data producers, processing stages, and data consumers. Protocols and formats commonly used are MQTT, OPC UA, REST/HTTP, and TCP/IP, with data representations such as JSON, XML, and CSV. Transmission media cover Ethernet, Wi-Fi, and cellular networks. Security practices emphasize encryption (for example TLS), strong authentication, access control, and data integrity to protect both the transmitted data and the endpoints.

Applications span manufacturing automation, telemetry, enterprise data integration, and cloud-based analytics platforms. The approach enables faster decision-making, improved scalability, and better data quality by organizing how raw data is transformed and moved to where it is needed. Typical challenges include latency management, reliability and fault tolerance, interoperability among diverse systems, and governance of data formats and access.