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A Database Management System (DBMS) stores data in the form of tables and uses an ER model and the goal is ACID properties. For example, a DBMS of a college has tables for students, faculty, etc.
A Data Warehouse is separate from DBMS, it stores a huge amount of data, which is typically collected from multiple heterogeneous sources like files, DBMS, etc. The goal is to produce statistical results that may help in decision-making. For example, a college might want to see quick different results, like how the placement of CS students has improved ...
Content Under CC-BY-SA licenseData Warehouse Tutorial for Beginners: Learn Basic Concepts
This course covers the basics of data warehousing, such as types, architecture, ETL, data modeling, OLAP, OLTP, and more. It also includes advanced topics, best tools, and interview questions for data warehousing professionals.Explore further
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WEBThis article will introduce you to crucial data warehouse concepts and outline three design principles that should mitigate the risk of failure.
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