ing a methodo

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

In the context of databases, what is meant by "data normalization" and why is it essential?

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

How does transaction management ensure data consistency and reliability in a database system?

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

What are the differences between exploratory data analysis (EDA) and hypothesis testing in the realm of data mining, and what is the rationale behind analysts' adoption of EDA?

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 is the process of data redundancy elimination, and why is it a significant objective in normalization?