Question

What is one of the major challenges in working with Big Data in terms of data analysis?

a.

Limited availability of data.

b.

Difficulty in data storage.

c.

Discovering the "meanings" of the data.

d.

Lack of data analytics tools.

Posted under Big Data Computing

Answer: (c).Discovering the "meanings" of the data. Explanation:One of the major challenges in working with Big Data is discovering the "meanings" or insights hidden within the data through complex modeling and analytics processes.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What is one of the major challenges in working with Big Data in terms of data analysis?

Add Comment

Similar Questions

Discover Related MCQs

Q. How do data analytic algorithms help in uncovering insights from Big Data?

View solution

Q. Which areas do data analytic algorithms often take into account when processing Big Data?

View solution

Q. What types of algorithms are commonly used in Big Data analytics?

View solution

Q. How do data analytic algorithms help in optimizing Big Data solutions?

View solution

Q. What is the trade-off that often exists between data ingestion speed, query response time, and data quality in Big Data solutions?

View solution

Q. What is the difference between OLTP and OLAP in the context of storage systems?

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

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

View solution

View All MCQs on Big Data Computing

Suggested Topics

Are you eager to expand your knowledge beyond Big Data Computing? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Microprocessor

Understand the heart of your computer with our Microprocessor MCQs. Topics include...

R Programming

Unleash the power of statistical computing with our R Programming MCQs. Topics cover...

Discrete Mathematics

Refine your mathematical skills essential for computer science with our Discrete...

Compiler Design

Unravel the process of translating source code into executable programs with our...

Digital Image Processing (DIP)

Delve into the techniques of enhancing digital images with our Digital Image...

Artificial Intelligence

Get started on the path to the future with our Artificial Intelligence MCQs. Covering...

C# programming

Hone your skills in the C# language with our MCQs. Understand data types, operators,...

DBMS

Get a firm grasp on database systems with our DBMS MCQs. Explore relational...

MySQL Database

Enhance your knowledge of relational databases with our MySQL MCQs. Understand...