大数据代写 | MSCA 31013 Assignment 1 – Big Data Solution Design

本次美国代写主要为大数据设计方案相关的assignment

Problem: Hospital costs are rising partially because of high readmission rates within 30 days of patient
release. Readmission rates have long been a trusted measure of effective and responsible care and have
become a primary assessment driver in the healthcare industry.

Solution: The goal is to research and design a big data solution that will meet the analytics needs of a large
health care provider with 500,000 customers (patients) around the world. The big data analytics platform
would identify at-risk patients based on past history, chart information, and patient trends. The provider
should be able to use this data to identify at-risk patients and provide the necessary care to reduce
readmission rates.

Provide your solution as a powerpoint slide deck (no more than 10 slides) that should address the following :

1. What type of data would you want to store about each patient and how often is it refreshed
2. What type of analytics would you like to perform on the patient data and how often
3. Provide reasons for your choice of big data technology in each of the following areas.:
a. Data Storage format and compression technique
b. Database (Big Data SQL/NoSQL) and Query Execution Engine
c. Analytics/data science platform
d. Cloud vs On-premise – If you pick a cloud, choose technologies from that cloud provider.

4. Data Sizing – Estimate the size of patient data and rate of growth of this data
5. Capacity Sizing – number of required datanodes and compute nodes (if separate from storage)
6. Total monthly cost of the end to end solution – needed to get the IT funding approval for the project
7. Big Data reference architecture diagram – this could be used by the IT systems engineers to build out
the infrastructure to meet your needs


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