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Assignment 3 Business Intelligence and Data Warehouses

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Submitted By alisabarny
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August 29, 2015 Business Intelligence and Data Warehouses

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1. Differences between the structures of a relational database optimized for online transactions versus a data warehouse optimized for processing and summarizing large amounts of data
Data Warehouse is a database which is designed to process for query and analysis rather than for transaction processing, and it is usually contains historical data derived from transaction data, but can include data from other sources while relational database optimized for online transaction which includes insertions, updates and deletion.
Basically Data Warehouse is defined as a subject-oriented, non-volatile and time –variant collection of database which support management’s decisions. Data Warehouse is very distinct from online transaction systems. Some of distinctions are given below: * One of main difference, a data warehouse you can do separate analysis workload form transaction workload which makes it very much read-oriented systems. * They deal higher amount of volume in comparisons to online transaction database. * They have a far higher amount of data reading versus writing and updating. This enables far better analytical performance and avoids impacting your transaction systems. * A data warehouse system can be optimized to consolidate data from many sources to achieve a key goal. * it prevents many disputes and enhances decision-making efficiency
2. Differences between database requirements for operational data and for decision support data
Operation data is a data that is being used for the day to day operations of a company like it could be tracking the project status while decision support data is a data in which tools are designed for processing and analysing the data like if manager must analyse the sales by region, they must...

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