adplus-dvertising
frame-decoration

Question

What is the key challenge in the bottom-up approach?

a.

Ensuring data conformity among data marts

b.

Establishing a single, integrated data warehouse

c.

Centralized architecture for all data marts

d.

Departmental data marts communicating with each other

Answer: (d).Departmental data marts communicating with each other Explanation:The bottom-up approach can lead to departmental data marts that may not effectively communicate with each other.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What is the key challenge in the bottom-up approach?

Similar Questions

Discover Related MCQs

Q. What is the practical approach that combines elements of both top-down and bottom-up approaches?

Q. In the Centralized Data Warehouse architectural type, how is data stored in the data warehouse?

Q. What is a characteristic of Independent Data Marts?

Q. In the Federated Data Marts architectural type, what is the relationship between the data marts?

Q. What is a characteristic of the Distributed Data Marts architectural type?

Q. What is the primary focus of the Hybrid Data Warehousing architectural type?

Q. In the Hybrid Data Warehousing approach, what is the relationship between data marts and the central data warehouse?

Q. In the Federated architectural type, how is data integration achieved?

Q. What is the key difference between the Centralized Data Warehouse and Hub-and-Spoke architectural types?

Q. What is the principal notion behind the Data-Mart Bus architectural type?

Q. In a data warehouse, what is the role of architecture?

Q. What are the four broad categories of source data for a data warehouse?

Q. What is the primary challenge when dealing with production data in a data warehouse?

Q. What is the nature of information queries in operational systems?

Q. Why is data integration important in a data warehouse?

Q. What role does internal data play in a data warehouse?

Q. How often is data typically archived from operational systems, and for how long can it be retained?

Q. What is the purpose of archived data in a data warehouse?

Q. Why is external data important in a data warehouse?

Q. How does external data typically differ from internal data in terms of format?