Adatrendszerben

Adatrendszerben is a Hungarian term used to refer to the data system or data architecture of an organization. It denotes the integrated set of data repositories, processing components, and governance practices that enable the collection, storage, management, and analysis of data. The concept emphasizes both technical and organizational dimensions of data management.

A typical adatrendszerben includes sources of data (operational databases, logs, external data feeds); data ingestion pipelines (ETL, ELT); storage layers such as data warehouses, data lakes, or data lakehouses; and the analytic layer with business intelligence tools and models. Metadata management and a data catalog support discovery and governance, while data quality tools monitor accuracy, completeness, and consistency. Access control, authentication, and encryption address security and privacy requirements; data lineage and auditing support compliance and debugging.

In practice, organizations use adatrendszerben to enable reporting, analytics, operational decision-making, and research. The architecture often relies on standards and interoperability via APIs, common data formats, and semantic models or ontologies to ensure coherence across systems. Modern trends include data mesh and data fabric approaches, which aim to decentralize ownership and improve data usability.

Because it is a Hungarian term rather than a formal international taxonomy, its exact scope and definition vary by organization. It is commonly found in enterprise and public-sector IT documentation, academic writings on information systems, and vendor descriptions of data architecture capabilities. Challenges include data silos, schema drift, data quality, privacy compliance (such as GDPR in the European Union), and cost management.