• Version
• Download 18
• File Size 303.81 KB
• File Count 1
• Create Date 1 April 2025
• Last Updated 1 April 2025

REVIEW ON DATA WAREHOUSING

Authors:

Dr. S Suganyadevi

Asst . Prof ., Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore.

Priyadharshini J G

UG Student, Department of Computer Science, Sri Krishna Arts and Science College, Coimbatore. Email: priyadharshinijg98@gmail.com

 

 

 

ABSTRACT:

Data warehousing is a fundamental component of modern business intelligence (BI) systems, enabling organizations to store, manage, and analyze vast amounts of data for strategic decision-making. It involves the integration of data from disparate sources into a centralized repository, optimized for efficient querying and reporting. The process of Extract, Transform, and Load (ETL) ensures that data is cleaned, transformed, and loaded into the warehouse for consistent and high-quality analysis. By leveraging data warehouses, businesses gain valuable insights into historical trends, optimize operational performance, and make data-driven decisions. However, data warehousing also presents challenges, including the complexity of data integration, high implementation costs, and data security concerns. Looking ahead, advancements in cloud computing, real-time data processing, and artificial intelligence are expected to revolutionize data warehousing, enabling more scalable, efficient, and insightful data management solutions. This paper explores the key components, benefits, challenges, and future trends of data warehousing, emphasizing its crucial role in enhancing organizational intelligence and competitiveness.

Download