Q. OLAP implementation considerations include two key issues related to the MOLAP model. What is the first issue?

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Q. What can highly normalized data in the data warehouse give rise to when performing complex analysis?

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Q. For some ROLAP tools, what is considered a prerequisite in terms of the multidimensional representation of data?

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Q. In the MOLAP model, where is data stored for analysis?

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Q. What is the sequence of the flow of data in the ROLAP model?

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Q. What does the OLAP system require for effective data processing and analysis?

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Q. What is a significant characteristic of data in the OLAP system?

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Q. How does OLAP data differ from data in the data warehouse in terms of departmentalization?

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Q. What is the purpose of defining subsets for OLAP data?

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Q. What is the suggested approach for data modeling in OLAP systems?

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Q. What should be considered while performing data modeling for OLAP systems?

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Q. What is one purpose of denormalizing OLAP data?

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Q. How does OLAP data differ from data in the data warehouse in terms of summarization?

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Q. What should be considered when joining tables for OLAP data subsets?

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Q. What are some key considerations for administering and managing the OLAP system?

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Q. In the context of the MOLAP model, what is a consideration for moving data into the OLAP system?

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Q. What is a corollary of shifting complex queries to the OLAP system?

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Q. How does the presence of an OLAP system affect the workload on the main data warehouse?

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Q. Why is the load performance of OLAP systems often longer?

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Q. What is one of the main advantages of multidimensional databases in terms of query response?

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