adplus-dvertising
frame-decoration

Question

What challenges do end-users typically face when dealing with Big Data?

a.

Lack of data sources

b.

Limited access to IT experts

c.

Slow turnaround time for queries

d.

Small data volumes

Posted under Big Data Computing

Answer: (c).Slow turnaround time for queries Explanation:The turnaround time for information requests in dealing with Big Data is often in the range of days or worse.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What challenges do end-users typically face when dealing with Big Data?

Similar Questions

Discover Related MCQs

Q. How does the involvement of IT experts affect the turnaround time for information requests?

Q. What dimensions of data make data access challenging in Big Data scenarios?

Q. What is the main idea behind ontology-based data access (OBDA)?

Q. Who typically formulates queries using the terms defined by the ontology in OBDA?

Q. What does OBDA stand for in the context of data access?

Q. What is one advantage of using OBDA for end-user data access?

Q. What does the ontology in OBDA help achieve?

Q. How does OBDA make the relationship between ontology concepts and relational data explicit?

Q. How does an ontology help in query answering in OBDA?

Q. What does the term "GAV" stand for in the context of OBDA mappings?

Q. How are mappings used to connect ontology vocabulary with the database schema?

Q. What is a prerequisite for OBDA technology?

Q. Why is end-user acceptance important in the context of OBDA?

Q. What feature is proposed to improve usability for non-technical users in OBDA systems?

Q. What does the proposed architecture aim to achieve?

Q. What is one of the challenges related to ontology and mappings in OBDA?

Q. How can an initial ontology and mappings be derived in new deployments of OBDA systems?

Q. What is the role of the Ontology and Mapping Management component in the architecture?

Q. Why is there a trade-off between expressivity and efficiency in ontology and mapping languages?

Q. How can the expressivity problem in ontology and mapping languages be resolved for specific applications?