What are the differences between ‘data warehouse’ and ‘operational database’
What are the differences between ‘data warehouse’ and ‘operational database’
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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What are the differences between ‘data warehouse’ and ‘operational
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Step 1
The distinctions between an operational database and a "data warehouse"
Data Warehouse :
1. In general, data warehousing systems are built to facilitate intensive analytical processing (i.e., OLAP).
2. Historical data are generally the focus of data warehousing systems.
3. Non-volatile data may be regularly updated. Once added, little was altered.
4. It is made to analyse business metrics according to subject, groupings, and qualities.
5. It is designed to handle heavy workloads and sophisticated, erratic queries that access a lot of records per table.
6. Consistently accurate information that doesn't need to be validated in real time.
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