the analyst starts with a question and evaluate data subjectively in terms of the question. In the inductive technique, he or she simply evaluates the data to look for patterns as in this approach; the analyst has no agenda. Frequently, the inductive process is also known as grounded theory....
At the lowest level, memory (a contiguous range of bytes accessible in a fast, random way) is represented by theRecordinterface. This interface is essentially an abstraction of a byte array of a fixed size. As such, it provides setters and getters able to access or modify the underlying ...
Data abstraction is a specific type of abstraction that involves simplifying data structures in order to make them easier to work with. In computer science, data abstraction involves creating abstract data types (ADTs) that hide the implementation details of a particular data structure. For example,...
ER modeling is a top-down structure to database design that begins with identifying the important data called entities and relationships in combination with the data that must be characterized in the model. Then database model designers can add more details such as the information they want to h...
Chief Data Officers care about who is doing what in the organization. They’re typically not the ones using a data catalog, but they still want to know answers to questions such as: Who can access customers’ personal information? Do we have retention policies defined for all data?
Abstraction is of the process of hiding unwanted details from the user. Interview Candidate Mar 6th, 2005 18 12010 Showing Answers 1 - 18 of 18 Answers Related Answered Questions Related Open Questions Subscribe To RSS Feed Subscribe Tags Cloud ...
The instance is a table with rows or columns Schema specifies the structure like name of the relation, type of each column and name. This model uses some mathematical concept like set theory and predicate logic. The first internet database application had been created in 1995. ...
Since the data structure is tied to the business function that produces and uses the data, combining data produced by dissimilar systems (in a data warehouse, for instance) can be problematic. Entity-Rich (E-R): An E-R model represents a business data structure in graphical form ...
Data management is the practice of collecting, processing and using data securely and efficiently for better business outcomes. 72% of top-performing CEOs agree that competitive advantage depends on who has themost advanced generative AI. However, in order to take advantage of artificial intelligence...
Database design- Depending on the scale of change, it can be risky to alter a database structure directly in a DBMS. To avoid ruining the data in a production database, it is important to plan out the changes carefully. ERD is a tool that helps. By drawing ER diagrams to visualize da...