Database System Concepts
7th Edition
ISBN: 9780078022159
Author: Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher: McGraw-Hill Education
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Transcribed Image Text:Explain why we need different 'data models'
for transaction processing systems
(operational data characteristics) and data
warehouses (analytics data, or decision
support data characteristics).
Give examples of how data is different.
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- Explain why we need different ‘data models’ for transaction processing systems (operational data characteristics) and data warehouses (analytics data, or decision support data characteristics). Give examples of how data is different. please explain difference between thesearrow_forwardA data warehouse is a type of data management system that is designed to enable and support business intelligence (BI) activities, especially analytics. Data warehouses are solely intended to perform queries and analysis and often contain large amounts of historical data.How does a data- warehouse work. Explain in detail.arrow_forwardDefine the key components of a data warehouse architecture. How do they work together to support data analysis?arrow_forward
- What are the most prevalent mistakes that might occur throughout the data modelling process?arrow_forwardExplain the concept of ETL (Extract, Transform, Load) in data warehousing. What are the primary challenges associated with ETL processes?arrow_forwardExplain the ETL (Extract, Transform, Load) process in the context of data warehousing. Why is it crucial for preparing data for analysis?arrow_forward
- There are some key differences between online transaction processing systems and business intelligence platforms. Using the example of a university student-focused data warehouse and how it varies from the university student records system, discuss two of these distinctions.arrow_forwardExplain the concept of data warehousing as a hub for data integration. How can it facilitate a unified view of data from various sources?arrow_forwardExplain the concept of data sharding and its role in horizontally scaling data processing systems. What are the challenges associated with sharding?arrow_forward
- There are some key differences between online transaction processing systems and business intelligence platforms. Compare and contrast two of these differences using the example of a university student-focused data warehouse and how it varies from the university student records system.arrow_forwardWhat is ETL (Extract, Transform, Load) in the context of data processing, and why is it essential for data integration and analysis?arrow_forwardHow do data warehouses handle data integration from unstructured sources, such as social media or sensor data, and what preprocessing steps are involved?arrow_forward
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