adplus-dvertising
frame-decoration

Question

What is the key requirement for making Big Data healthy and understandable for analytics?

a.

Collecting more data

b.

Using advanced analytics tools

c.

Ensuring effectiveness and efficiency

d.

Expanding digital storage capacity

Posted under Big Data Computing

Answer: (c).Ensuring effectiveness and efficiency Explanation:Making Big Data healthy and understandable for analytics requires ensuring effectiveness and efficiency.

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 requirement for making Big Data healthy and understandable for analytics?

Similar Questions

Discover Related MCQs

Q. What is considered a deciding factor by today's business analytics?

Q. What are some of the perceived benefits of harnessing Big Data for decision-making?

Q. What term is used to describe the current state of knowledge and data collection?

Q. According to Capgemini, what is the biggest impediment to effective decision-making using Big Data?

Q. What is the primary concern related to privacy in the context of Big Data?

Q. What does the International Telecommunications Union define as privacy?

Q. What are some of the barriers to sharing data?

Q. What is the primary challenge associated with managing large volumes of data?

Q. What is the role of automated systems in dealing with the increasing volume of data?

Q. What is the purpose of creating index structures in the context of large data sets?

Q. What is the core issue when dealing with new data sources?

Q. What are the three major layers of the Big Data processing technology stack?

Q. Which layer of the technology stack provides the infrastructure for storage, access, and management of Big Data?

Q. What are the potential solutions for storing and accessing Big Data in response to upper-layer requests?

Q. What is the primary focus of the analysis of the state of development of Big Data technologies?

Q. Which layer of the technology stack deals with storage, access, and management of Big Data?

Q. Which layer of the Big Data processing technology stack is responsible for analytics?

Q. What is the primary functionality of focused applications or services at the top of the Big Data processing stack?

Q. What is the primary concern of the foundational layer in Big Data processing?

Q. Why are hybrid infrastructures used in Big Data processing?