Normalization and Integrity

1055 Words3 Pages

Inconsistently storing organization data creates a lot of issues, a poor database design can cause security, integrity and normalization related issues. Majority of these issues are due to redundancy and weak data integrity and irregular storage, it is an ongoing challenge for every organization and it is important for organization and DBA to build logical, conceptual and efficient design for database. In today’s complex database systems Normalization, Data Integrity and security plays a key role. Normalization as design approach helps to minimize data redundancy and optimizes data structure by systematically and properly placing data in to appropriate groupings, a successful normalize designed follows “First Normalization Flow”, “Second Normalization Flow” and “Third Normalization flow”. Data integrity helps to increase accuracy and consistency of data over its entire life cycle, it also help keep track of database objects and ensure that each object is created, formatted and maintained properly. It is critical aspect of database design which involves “Database Structure Integrity” and “Semantic data Integrity”. Database Security is another high priority and critical issue for every organization, data breaches continue to dominate business and IT, building a secure system is as much important like Normalization and Data Integrity. Secure system helps to protect data from unauthorized users, data masking and data encryption are preferred technology used by DBA to protect data.

1.0 Normalization
Normalization is the process of identifying the one best place where each fact belongs, it is being used to minimizinge data redundancy and optimizinge data structure by systematically and properly placing data elements in appropriate g...

... middle of paper ...

...t to track all Internal and External users activity, auditing plays the key role in monitoring these user actions. Data masking and encryption technology provide certain level of assurance that data is not easily accessible to unauthorized users.
CONCLUSION
Normalization, Integrity and Security are the important role for a DBA, Normalization helps to avoid data redundancy by reviewing data base structure at certain level. It helps to build an effective data model. Data Integrity provide some level of assurance over the information getting store and retrieved from database, DBA has to understand all DBMS features use them correctly for Data Integrity. Data Security is toughest part for DBA, auditing and multiple level security can protect data but none of them provide complete security, security can also be managed by encrypting and masking the organization data.

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