Data storage and visualisation. Explain how each Business Intelligence component would be utilised in conjunction with a distributed warehouse.
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Data storage and visualisation. Explain how each Business Intelligence component would be utilised in conjunction with a distributed warehouse.
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- the storing and displaying of information. Please provide an example of when you may combine this business intelligence component with a distributed warehouse.storing information and presenting it to users. Provide an example of when it would be appropriate to integrate each component of business intelligence with a distributed warehouse.Data storage and Data visualization. Provide a scenario in which each Business Intelligence component would be useful when used in combination with a distributed warehouse.
- Data storage and Data visualisation. Describe a scenario in which each Business Intelligence component would be advantageous when combined with a distributed warehouse.Define a data warehouse and its role in business intelligence.Define the concept of a data warehouse and its role in business intelligence and data analysis.
- databases - What are some of the benefits of Mercy's enterprise data model?Using an example of an online cell phone apps store. List relevant data flows, data stores, processes, and sources/sinks. Draw a context diagram and a level-0 diagram that represent the app store.Q. Select two Business Intelligence (BI). Describe an example of when you would use each BI component in conjunction with a distributed warehouse.
- Define what a data warehouse is and explain its primary functions and advantages in the context of business intelligence.How to combine GIS and Business Intelligence (BI)? Please create a scenario integrating GIS analysis (spatial analysis) with MIS analytics. Please answer this question by drawing a flowchart. Please pay attention MIS/GIS can utilize a common database.Define the key components of a data warehouse architecture, including data sources, ETL (Extract, Transform, Load) processes, data storage, and data presentation. How do these components work together to support business intelligence?