Describe the role of OLAP (Online Analytical Processing) in data warehousing and its advantages over OLTP (Online Transaction Processing) systems.
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Describe the role of OLAP (Online Analytical Processing) in data warehousing and its advantages over OLTP (Online Transaction Processing) systems.
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- Explain the primary objective of a data warehouse and its significance in modern business analytics.Explain the role of data warehouses in business intelligence and analytics. Provide an example of a data warehousing implementation.Describe the various components of a CRM system and their functions in managing customer relationships.
- How does the "ETL" process differ from the "ELT" process in the context of data warehousing operations?What is the role of OLAP (Online Analytical Processing) in data warehousing, and how does it differ from OLTP (Online Transaction Processing)?Explain the fundamental components of a CRM system and their roles in managing customer relationships.
- Describe the concept of data warehousing and how it differs from traditional databases. What are the key components of a data warehousing architecture?Discuss the integration of CRM with Customer Data Platforms (CDPs) and its implications.Distinguish between solutions for online transaction processing (OLTP) and data warehousing. Additionally, investigate the primary benefits and drawbacks of data warehousing.