Data Migration Mock Interview

Master 25 Data Migration interview questions covering ETL processes, risk mitigation, and legacy system transitions.

Question 17 of 25

What are views, and how do they differ from materialized views?

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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

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

"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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25Data Migration Interview Questions & Answers

1.Can you explain the key features of a data migration system within a data warehouse?

2.What are the day-to-day functions a data migration system performs?

3.What are some of the standard data formats in a data migration system?

4.What is the purpose of data profiling in the data migration system?

5.Can you explain what a data migration validator is and how it is used in data migration?

Data Migration Mock Interview

What are views, and how do they differ from materialized views?

25Data Migration Interview Questions & Answers

1.Can you explain the key features of a data migration system within a data warehouse?

2.What are the day-to-day functions a data migration system performs?

3.What are some of the standard data formats in a data migration system?

4.What is the purpose of data profiling in the data migration system?

5.Can you explain what a data migration validator is and how it is used in data migration?

6.What operations are executed in a data migration system, and in what order?

7.Can you name some of the popular data migration tools available to database administrators?

8.Can you describe the roles and responsibilities of a data migration team?

9.Why is it important to analyze the impact of changes in a data migration system?

10.What is the best way to process a fixed-length flat file?

11.Why is it important to have real-time data migration into a data warehouse?

12.What is the difference between an initial load and a full load process in the context of data migration?

13.What then is meant by an incremental load?

14.With regard to data migration, what is referred to as a Three-Tier System?

15.Can you tell me the names of the three layers in a data migration system?

16.What is meant by the term "snapshots" as it relates to data migration?

17.What are views, and how do they differ from materialized views?

18.What is a powercenter as it relates to data migration, and what is the difference between a powercenter and a powermart?

19.Can you discuss partitioning in data migration, including the types of partitions and what benefits they bring to data migration?

20.Can you discuss round-robin and hash partitioning in more detail?

21.Can you discuss what is meant by an operational data store and how it works?

22.How are the tables in data migration analyzed, and when does the analysis occur?

23.How do you fine-tune the mapping of the data during data migration?

24.Please define the term workflow and discuss how it is used in the context of data migration?

25.Can you explain the differences between a connected and an unconnected lookup and when you should use each of them in a data migration?