Most of the banking application still use the traditional data warehousing system for their business decision...
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Most of the banking application still use the traditional data warehousing system for their business decision making. Contemporarily, the increasingly huge amount of data produce more challenges for the banking system to make an efficient decision when using the traditional system. To overcome the challenges, cloud-based data warehousing architecture is utilized to process the numerous incoming data efficiently. Refer to the above statement, and answer the following questions: Construct a cloud based data warehousing architecture for banking application to provide scalable and efficient data processing system in decision making based on the above case. Illustrate in detail all the steps involved in the data warehousing system. (15 marks) Most of the banking application still use the traditional data warehousing system for their business decision making. Contemporarily, the increasingly huge amount of data produce more challenges for the banking system to make an efficient decision when using the traditional system. To overcome the challenges, cloud-based data warehousing architecture is utilized to process the numerous incoming data efficiently. Refer to the above statement, and answer the following questions: Construct a cloud based data warehousing architecture for banking application to provide scalable and efficient data processing system in decision making based on the above case. Illustrate in detail all the steps involved in the data warehousing system. (15 marks)
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Designing a cloudbased data warehousing architecture for a banking application to provide scalable and efficient data processing for decision making involves several key steps Heres a detailed breakdo... View the full answer
Related Book For
Business Intelligence And Analytics Systems For Decision Support
ISBN: 9781292009209
10th Global Edition
Authors: Efraim Turban, Ramesh Sharda, Dursun Delen, Pearson Education Limited, Dennis G. Zill
Posted Date:
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