adplus-dvertising
frame-decoration

Question

How can distributed crawlers enhance the data mining process?

a.

By reducing the amount of data to be processed.

b.

By increasing the computation time required.

c.

By using a centralized control unit to manage tasks among multiple computers.

d.

By limiting the scope of data extraction.

Posted under Big Data Computing

Answer: (c).By using a centralized control unit to manage tasks among multiple computers. Explanation:Distributed crawlers can enhance the data mining process by using a centralized control unit to manage tasks among multiple computers, improving efficiency and scalability.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. How can distributed crawlers enhance the data mining process?

Similar Questions

Discover Related MCQs

Q. What are faceted queries, and where are they especially useful?

Q. Why is the ability to process data in real-time important in Big Data solutions?

Q. What is the primary benefit of processing data in real-time in business scenarios?

Q. What are the two most important enabling technologies related to data access for computing in Big Data solutions?

Q. How does the type of indexing used in a Big Data system affect data retrieval operations?

Q. What is the purpose of an incremental indexing system like the one offered by Couchbase?

Q. In the context of Big Data, why is the modeling and management of data relationships important?

Q. How can high-speed cache stores be used in Big Data solutions?

Q. What is the purpose of using well-defined cache systems or temporary files in Big Data solutions?

Q. What is the role of metadata in Big Data access for data analysis?

Q. How can structured metadata benefit the process of data analysis in the financial sector?

Q. What are some examples of attributes that can be applied to data as metadata in Big Data solutions?

Q. How can data descriptors and metadata be used to save time in data analysis operations?

Q. What is the main purpose of ArrayDBMS in the context of Big Data solutions?

Q. What does Rasdaman offer in terms of query language and execution in the ArrayDBMS context?

Q. How is the conceptual model of Rasdaman ArrayDBMS structured?

Q. What is the role of metadata in describing data arrays in Rasdaman ArrayDBMS?

Q. How does Rasdaman decompose object arrays for query optimization?

Q. What type of applications is Couchbase designed for?

Q. What is Couchbase's storage format?