datalagerarkitektur

A datalagerarkitektur, or data warehouse architecture, refers to the overall design and structure of a data warehouse. It encompasses the various components and how they interact to store, manage, and provide access to data for analysis and decision-making. A typical data warehouse architecture includes several key layers: the data staging area, the data warehouse itself, and the data access layer.

The data staging area is an intermediate storage zone where raw data from various source systems is extracted, transformed, and cleansed before being loaded into the data warehouse. This ETL (Extract, Transform, Load) process ensures data quality and consistency.

The data warehouse is the central repository where integrated historical data is stored. It is typically structured using dimensional modeling techniques, such as star schemas or snowflake schemas, to optimize for query performance and ease of understanding.

The data access layer provides the interface for end-users and applications to retrieve data from the warehouse. This layer often includes tools for reporting, querying, online analytical processing (OLAP), and data mining. Different architectural patterns exist, such as the Inmon model (top-down) and the Kimball model (bottom-up), each with its own approach to building and organizing the data warehouse. The choice of architecture depends on factors like business requirements, existing infrastructure, and scalability needs.