https://padlet.com/itamarsh/dataproc en-us 2017-08-01 18:25:10 UTC 2017-08-01 22:37:25 UTC hello@padlet.com https://padlet.com/itamarsh/dataproc/wish/179891922 the factors we need to consider :
- speed of access.
- risk of one processing.
- cost.
- the physical locations of the hospital's buildings or clinics.
- the size of the hospital.
- efficiency 


]]> 2017-08-01 22:23:09 UTC https://padlet.com/itamarsh/dataproc/wish/179891922 https://padlet.com/itamarsh/dataproc/wish/179891924
-In my opinion the decentralized data processing provides a more flexible approach especially when dealing with remote clinics with low connectivity.

-Software updates: in a centralized architecture the updates are done easier

-Data sharing can be easier in a Centralized architecture but the decentralized still provides opportunities for data sharing

-]]> 2017-08-01 22:23:09 UTC https://padlet.com/itamarsh/dataproc/wish/179891924 https://padlet.com/itamarsh/dataproc/wish/179891959 Privacy:
- centralized has less "places" for privacy to be breached

Latency:
- centralized allows for all users to see transactional updates immediately

Data normalization:
- centralized yields less possibility of data duplication

Security:
- distributed system is less failure prone (if one part fails, does not mean entire system is out)

Access / speed:
- distributed system has less bottlenecks which means access to data can be faster (important when data is needed immediately)

System maintenance:
- it might be easier to maintain simpler centralized system, preventing data loss or corruption]]> 2017-08-01 22:24:04 UTC https://padlet.com/itamarsh/dataproc/wish/179891959