Describe the concept of data warehousing and how it differs from traditional databases. What are the key components of a data warehousing architecture?
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Describe the concept of data warehousing and how it differs from traditional databases. What are the key components of a data warehousing architecture?
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- Explain the concept of data warehousing. How does it differ from traditional databases, and what are its advantages?Explain the concept of data warehousing and how it differs from traditional databases.Explain the concept of data warehousing and its role in business intelligence. How does a data warehouse differ from a traditional database?
- Explain the concept of data warehousing and its importance in modern data analytics. How do data warehouses differ from traditional databases?Discuss the concept of data warehousing. What are the benefits of using data warehouses for business intelligence and analytics?Elaborate on the role of surrogate keys in data warehousing. How do they enhance data integrity and performance in a data warehouse environment?
- Examine the capabilities of a database management system and further discuss how such capabilities give a company acompetitive advantage.Define the term "data mart" in the context of data warehousing. How does it relate to the overall data warehousing architecture?Discuss the various data integration techniques and technologies used in data warehousing, such as ETL, CDC (Change Data Capture), and data virtualization.
- Describe the role of OLAP (Online Analytical Processing) in data warehousing and its advantages over OLTP (Online Transaction Processing) systems.So what is this "Hybrid Approach" to data warehousing, exactly?What is the best way to collect data and create a database? Differentiate among structured, semi-structured, and unstructured data, giving business examples of each.