Podatkovna

Podatkovna is a term that refers to a data warehouse, a type of database designed to store and manage large volumes of structured and semi-structured data from various sources. The primary purpose of a podatkovna is to support business intelligence activities, such as reporting, data analysis, and decision-making. It consolidates data from transactional systems, operational databases, and other external sources into a unified repository, enabling users to access and analyze data from a single, integrated platform.

Key features of a podatkovna include:

1. Subject-oriented: Data is organized around specific subjects or themes, making it easier to analyze and understand.

2. Time-variant: Data is stored in a time-oriented manner, allowing for historical analysis and trend identification.

3. Non-volatile: Once data is loaded into the podatkovna, it remains unchanged, ensuring data integrity and consistency.

4. Integrated: Data from different sources is combined and transformed into a consistent format, enabling seamless analysis.

A podatkovna typically consists of three main components:

1. ETL (Extract, Transform, Load) process: This process involves extracting data from various sources, transforming it into a suitable format, and loading it into the podatkovna.

2. Data storage: The podatkovna stores data in a structured format, such as tables or cubes, optimized for querying and analysis.

3. Data access and analysis tools: Users can access and analyze data using various tools, such as SQL queries, reporting tools, or business intelligence software.

Podatkovna plays a crucial role in modern organizations, enabling them to make data-driven decisions, improve operational efficiency, and gain a competitive edge in the market.