adplus-dvertising
frame-decoration

Question

What benefits does the approach, OLAP in the server, provide in a production environment?

a.

Scalability problems

b.

Maintenance minimization, consistent version control, and shared components

c.

Thick-client architecture

d.

Dependency on the RDBMS

Answer: (b).Maintenance minimization, consistent version control, and shared components Explanation:The approach, OLAP in the server, provides benefits in a production environment, including maintenance minimization, consistent version control, and shared components.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What benefits does the approach, OLAP in the server, provide in a production environment?

Similar Questions

Discover Related MCQs

Q. What is a critical factor in the design of the OLAP engine for a Web-enabled data warehouse?

Q. What does a properly designed OLAP engine produce in terms of performance as the number of concurrent users increases?

Q. What is a potential disadvantage of an OLAP engine that depends completely on the RDBMS for multidimensional processing?

Q. What challenges arise with an OLAP engine that relies on the RDBMS for multidimensional processing?

Q. How does the number of concurrent users impact an OLAP system that depends on the RDBMS?

Q. What are two problems associated with an OLAP engine that generates SQL to access summary data and performs all processing on a middle tier?

Q. What is a potential issue with an OLAP engine that relies completely on the RDBMS for multidimensional processing?

Q. What is an advantage of an intelligent OLAP engine in distributing joins, aggregations, and calculations?

Q. What does the intelligent OLAP engine have the ability to do regarding the type of request and its optimal processing location?

Q. How does the intelligent OLAP engine contribute to system processing in a Web-enabled data warehouse?

Q. What is the primary purpose of a data warehouse in the context of the Web?

Q. How has the Web changed the design and deployment of data warehouses?

Q. What is the result of matching up the features of the data warehouse with the characteristics of the Web?

Q. How is Web-based information delivery different from traditional methods?

Q. What considerations are we now ready to review after covering Web-based information delivery and OLAP in relation to the Web?

Q. What term did Dr. Ralph Kimball popularize in mid-1999, emphasizing the central stage of the data warehouse in the Web revolution?

Q. What is a principal feature of the data Webhouse, according to Dr. Ralph Kimball?

Q. What is the key to information delivery in a data Webhouse?

Q. What is a serious concern in the data Webhouse due to its openness?

Q. What types of data does the Web support in a data Webhouse?