Question

Why is planning for partitioning crucial in a data warehouse?

a.

It helps in creating unique B-Tree indexes

b.

It simplifies the process of regular purging

c.

It enables table merging for performance improvement

d.

Doing this after the data warehouse is deployed is time-consuming and difficult

Posted under Data Warehousing and OLAP

Answer: (d).Doing this after the data warehouse is deployed is time-consuming and difficult Explanation:Planning for partitioning is crucial in a data warehouse because doing this after the data warehouse is deployed is time-consuming and difficult.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. Why is planning for partitioning crucial in a data warehouse?

Add Comment

Similar Questions

Discover Related MCQs

Q. What is the primary benefit of partitioning a table in a data warehouse?

View solution

Q. In vertical partitioning of a table, how are partitions separated?

View solution

Q. What is a benefit of horizontal partitioning in a data warehouse?

View solution

Q. How does data clustering improve query performance in a data warehouse?

View solution

Q. What is a potential advantage of taking an entire partition off-line for maintenance?

View solution

Q. How does parallel processing contribute to performance improvement in a data warehouse?

View solution

Q. What is a consideration when applying parallel processing techniques in conjunction with data partitioning?

View solution

Q. Why is it important to carefully choose summary and detail levels in a data warehouse?

View solution

Q. What is a rolling summary structure in a data warehouse?

View solution

Q. How does turning off referential integrity verification during data loading impact performance?

View solution

Q. Why is it important to carefully set the maximum number of concurrent users in a database system?

View solution

Q. What is the purpose of setting the checkpoint frequency in a database system appropriately?

View solution

Q. In the context of a financial data mart, how can the use of data arrays contribute to performance improvement?

View solution

Q. What is a key consideration in the physical design process for a data warehouse implementation?

View solution

Q. Which indexing techniques are suitable for data warehouses?

View solution

View All MCQs on Data Warehousing and OLAP

Suggested Topics

Are you eager to expand your knowledge beyond Data Warehousing and OLAP? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Software Architecture and Design

Get a strong hold on the blueprint of software systems with our Software Architecture...

Data Warehousing and OLAP

Strengthen your knowledge of Data Warehousing and OLAP with our specialized MCQs....

IT Fundamentals

Navigate the basics of information technology with our IT Fundamentals MCQs. Get a...

Computer Graphics

Step into the visual side of computing with our Computer Graphics MCQs. Cover topics...

Cryptography and Network Security

Secure your knowledge of information security with our Cryptography and Network...

Web Technologies

Master the building blocks of the web with our Web Technologies MCQs. From HTML and...

Big Data Computing

Enhance your understanding of Big Data Computing with our comprehensive MCQs. Explore...

CSS

Polish your web design skills with our CSS MCQs. Learn about selectors, properties,...

Microprocessor

Understand the heart of your computer with our Microprocessor MCQs. Topics include...