Evaluate FIVE (5) disadvantages of proposing the big data and cloud technologies in reference to the answers given in (2). Recommend the relevant solutions to mitigate the disadvantages as evaluated in (4).

Database Systems: Design, Implementation, & Management
12th Edition
ISBN:9781305627482
Author:Carlos Coronel, Steven Morris
Publisher:Carlos Coronel, Steven Morris
Chapter5: Advanced Data Modeling
Section: Chapter Questions
Problem 9C
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4.
Evaluate FIVE (5) disadvantages of proposing the big data and cloud technologies in
reference to the answers given in (2).
5.
Recommend the relevant solutions to mitigate the disadvantages as evaluated in (4).
Transcribed Image Text:4. Evaluate FIVE (5) disadvantages of proposing the big data and cloud technologies in reference to the answers given in (2). 5. Recommend the relevant solutions to mitigate the disadvantages as evaluated in (4).
Case Study – Big data technologies-based application is used to process, analyze
and store the supply chain industry data.
The ever-increasing importance of supply chain industry has brought together numerous
challenges. Specifically, challenges are in collecting, processing, analyzing, and storing
of data. These are due to the digitalization and automation devices have generate huge
amount of data in the supply chain's applications.
The supply chain industry applications collect data from multiple participants such as
manufacturers, retailers, vendors, etc. The data is useful for planning, sourcing and
development, execution, delivery and return of products.
Currently, most of the supply chain applications still utilize traditional data processing
systems to monitor and manage the real-time logistics tracking such as for sales numbers,
inventory levels, delivery time, vendor, and shipping details, to name a few. In addition,
most of the applications do not employ machine learning algorithms for prediction in the
supply chain applications.
Based on the above case study, answer the following questions.
Transcribed Image Text:Case Study – Big data technologies-based application is used to process, analyze and store the supply chain industry data. The ever-increasing importance of supply chain industry has brought together numerous challenges. Specifically, challenges are in collecting, processing, analyzing, and storing of data. These are due to the digitalization and automation devices have generate huge amount of data in the supply chain's applications. The supply chain industry applications collect data from multiple participants such as manufacturers, retailers, vendors, etc. The data is useful for planning, sourcing and development, execution, delivery and return of products. Currently, most of the supply chain applications still utilize traditional data processing systems to monitor and manage the real-time logistics tracking such as for sales numbers, inventory levels, delivery time, vendor, and shipping details, to name a few. In addition, most of the applications do not employ machine learning algorithms for prediction in the supply chain applications. Based on the above case study, answer the following questions.
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