Adattárházaival

Adattárházaival is a Hungarian term formed from adattárház (data warehouse) and the suffixes that yield the meaning “with its data warehouses.” It is the instrumental plural form of adattárháza, and it is used in IT and business contexts to refer to a system landscape that includes multiple data warehouses owned or operated by a subject, such as a company or a department.

Adattárházak are centralized repositories designed to store integrated, subject-oriented data from diverse sources for reporting and analysis. They differ from operational databases by focusing on read-oriented, historical data and by being optimized for queries and business intelligence rather than for day-to-day transaction processing. Typical characteristics include a defined subject orientation, nonvolatile data, and the integration of data from multiple sources to enable consistent analysis.

Typical architecture includes an ETL (extract, transform, load) or ELT pipeline, a staging area, a data warehouse layer, and often data marts for specific domains. Data models frequently use star or snowflake schemas to support efficient querying. In modern practice, cloud-based data warehouses and scalable data pipelines enable flexible deployment and near-real-time analytics. Governance, data quality, security, and metadata management are essential components.

Challenges include data integration across disparate systems, maintaining historical accuracy, and controlling costs. The concept is often contrasted with data lakes or lakehouses, depending on organizational strategy. Adattárházaival describes a setup in which an organization relies on multiple data warehouses to support diverse departments or analytics needs, reflecting decentralization or domain-specific requirements.