What are the advantages of employing a methodology to implement data security measures? How does a method improve a process?

Explain the concept of distributed data consistency and the challenges of maintaining strong consistency in systems with high data update rates. Provide examples of scenarios where strong consistency is crucial.

Explain the concept of normalization in database design. How does it help in reducing data redundancy and improving data integrity?

How does a database's transaction isolation level impact concurrency and data integrity?

How can a methodology improve data security implementation? How can a method boost efficiency?

What role does view play in ensuring the safety of data, and why can't it be depended on in isolation?

In terms of data and structural independence, compare the file system data management, hierarchical, network and the object-oriented model.

What is a stable database state, and how do you get one? There is no assurance that the database management system's representation of the transaction's underlying actual occurrence corresponds to its symbolic meaning. What consequences would such a restriction have? Give an example to illustrate what you mean. Does "serializable transactions" imply what it seems to mean?

How exactly does the idea of data hiding become applied in the OSI model?

What should be the difference between database security and the rest of the system's security? Does it make a difference in data architectures for the web? If so, how would you go about doing it?