data validation for business continuity planning

Data Validation for

Business Continuity PlanningPrepared by:

Ms. Pooja MehtaITSNS Branch,

GTU-CDAC-BISAG ME Program,Gandhinagar

May 1, 2023By: Pooja Mehta

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Content2

Introduction Conceptual Architecture Rules Experiments Conclusion References

Introduction


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Important activity for any services delivery organization

Important activities in BCP are: Impact statement & Develop resumption plan

Data validation is an important step for any organization to verify and validate the sanctity of the data.

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Conceptual Architecture


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At a broad level the system has three components. The overall system has two physical components:

user machine and data source host

A virtual component - Communication Layer handles the data exchange and overlaps with the physical component.

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A. Rules Handler This component provides the functionality to edit, store

and transform the rules with the use of meta model.a) User Interface:

The interfaces provides the user with the capability of specifying the rules.

b) Rules Validation: The function of this module is to validate if all the rules

present in file are consistent with the meta model.

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B. Communication Handlerc) Dispatcher:

Dispatcher takes the validated rules object and generate separate object for each data source such that each object will have rules only for a corresponding data source.

d) Listener: Listener runs on each data source machine as a daemon

process in the background. It takes the validation object send by dispatcher and execute the rules and revert back the response to the dispatcher.

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C. Data Sources Handler These are all the different data sources hosts in the

organization. Each host may contain single or multiple databases.

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Rules


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Fig. 5 Example of a rule for multi data sources

Experiments


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Conclusion15

In this paper, they have proposed a Metadata driven rule-based data validation system, which is domain independent, distributed and can easily accommodate changes in business requirements.

As proof-of-concept, they have applied their system on real data sets.

Experimental results illustrated that their system is easy to use, very adaptable for changes in business requirements, faster then traditional Centralized validation systems, scalable and does not expose the sensitive data.


Reference16

http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6273507


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Thank you...!

data validation for business continuity planning

Engineering