DATA WAREHOUSING AND ANALYTICAL DATABASES IN CONTEMPORARY DECISION SUPPORT

This article examines how data warehousing and analytical databases contribute to modern decision support systems. It analyzes the integration and management of large-scale data from multiple sources, enabling organizations to extract actionable insights. The study explores the advantages, applications, and challenges of data warehouses, highlighting the importance of structured data management for informed strategic and operational decisions. Real-world database systems such as Oracle, Amazon Redshift, and Snowflake are discussed as examples of practical implementations in contemporary organizations.

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