databevegelser
Databevegelser is a term used in information technology and data management to describe the flow of data between systems, organizations and processes. It covers transfer, replication and synchronization of datasets to enable analysis, processing and decision-making. In practice, databevegelser is implemented through data pipelines that move data from sources such as operational databases, sensors and applications to destinations such as data lakes, data warehouses and analytics tools. The process typically includes ingestion, transformation and distribution, and may involve both batch and real-time streaming.
Technologies and methods include ETL and ELT approaches, message queues and streaming platforms (for example Kafka
Key considerations include latency, throughput, reliability, and data quality. Schema evolution, data duplication, and inconsistent semantics
Applications span real-time analytics, fraud detection, operational intelligence, and cross-organizational data sharing or data marketplaces. Emerging
See also: data pipeline, data integration, ETL, ELT, CDC, data governance, data lineage.