Master 25 Data Migration interview questions covering ETL processes, risk mitigation, and legacy system transitions.
Question 17 of 25
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William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"The two main types of views are regular and materialized. They differ in terms of how the data is obtained and how the view can be updated. Standard views use data from either a single table or multiple tables. Single table views can be updated, but multiple fable views cannot. Materialized views aggregate data from several different tables, including a fact table or dimension table. Materialized views can be updated through Foot Data has already been aggregated."

William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
In this technical question, you are being asked to define and compare two different but similar terms. Make sure that you thoroughly answer the interviewer's questions by first providing the definition, and then discussing the differences between the phrases. You may want all enhance this by also discussing how the terms are used within data migration.

William Swansen has worked in the employment assistance realm since 2007. He is an author, job search strategist, and career advisor who helps individuals worldwide and in various professions to find their ideal careers.
"Views are representations of the data that are contained in the table. Views are created using the attributes of one or more tables. A view of a single table can be updated, but those with multiple tables cannot. Materialized views are created from an aggregated table which contains data from either fact tables or dimension tables. Materialized views can be updated."

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Written by William Swansen
25 Questions & Answers • Data Migration

By William

By William