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describe Potential Drawbacks of Distributed Data Processing. Under what condition do you recommend distributed data processing?...

describe Potential Drawbacks of Distributed Data Processing. Under what condition do you recommend distributed data processing?

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Incompatability among Equipment

it will be difficult to establish the communication between equipment from different vendors

To resolve this issue, businesses often restrict investments in computing resources those for which standards available/exist

Incompatability amoung Data

in distributed data processing, especially in decentralized environment, data produced by an program at one location may not be usable in the produced form by programs at another location

we can resolve this issue by use data dictionary and database standards such as Open Database connectivity(ODBC) to reduce data incompatabilities

More Dependence on Communication Technology

to be effective,a distributed environment should be inter connected by communication & network technologies. Networking & communication become critical to the day to day operation of the organization

More challenging Failure Diagnosis

Suppose there is high degree of interaction between elements of a distributed system it will be more difficult process to find the cause of failure or degradation of performance

Network Management & Control

Because of the reason is that equipment is physically dispersed it may be involved more han on vendor, it may be maintained & controlled by lots of organizational units therefore managing and controlling network will be difficult. because of the inconsistency in standards of software & data controlling network will be difficult process

Difficulty in Control of Corporate Information Resources

Data may be distributed or not at least access to data is distributed. In case if distributed users can perform update functions it will be challenging to control the integrity & security of the data needed at organizational level

There are certain cases it will be difficult to acquire information needed by management from the distributed databases

Sub optimization

in the distributed environment it will be easy to add any new computing resources but each purchase should be individually justifiable, the totality of adding new devices throughout an organization may exceed the total requirement

Duplication of Effort

Distributed systems & data centers needs professional skilled support personnel without oversight & coordination it may have unwanted and costly duplication of effort

Data Integrity

in distributed environment, it will be difficult to maintain the integrity of data in case if the data is duplicated the requirement also more difficult to satisfy

Security

Security policy and authenticating users enforcing this things will be more difficult in distributed environment

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all the best

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