adplus-dvertising
frame-decoration

Question

Why is it challenging to analyze and manage unstructured data in Big Data?

a.

Unstructured data is easy to represent in rows and columns.

b.

Unstructured data is generated within the organization.

c.

Unstructured data is typically small in size.

d.

Unstructured data has complex structures that are hard to represent, and organizations want to combine and analyze data from various sources.

Posted under Big Data Computing

Answer: (d).Unstructured data has complex structures that are hard to represent, and organizations want to combine and analyze data from various sources. Explanation:Analyzing and managing unstructured data in Big Data is challenging because unstructured data often has complex structures that are hard to represent, and organizations want to combine and analyze data from various sources.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. Why is it challenging to analyze and manage unstructured data in Big Data?

Similar Questions

Discover Related MCQs

Q. What challenge arises when businesses want real-time analytics and increased user access to data?

Q. What challenges are associated with data quality and data availability?

Q. What is a significant challenge in data discovery?

Q. What challenge involves determining the quality of data sets and their relevance to specific issues?

Q. What cautionary note does Paul Miller provide regarding the analysis of Big Data in the healthcare sector?

Q. What are some of the main management challenges associated with data warehouses containing sensitive data?

Q. What does Gray's Laws of Data Engineering suggest in the context of Big Data analysis?

Q. What is Hadoop primarily used for in the context of Big Data processing?

Q. What inspired the development of Hadoop?

Q. What percentage of Yahoo's MapReduce use cases use Pig for data analysis?

Q. What characterizes advanced users of Hadoop?

Q. What are some examples of use cases that advanced Hadoop users may focus on?

Q. According to John Schroeder, why do many organizations need Hadoop to be easier to use?

Q. What is a common need for new users of Hadoop?

Q. What is the primary distinction between data stored in a data warehouse and data stored in Hadoop?

Q. What is one of the key distinctions between the development of Big Data in the database world and in the systems world?

Q. What does the parallel database software stack typically comprise?

Q. Which tool is part of the Hadoop software stack?

Q. What is a key requirement when handling Big Data, particularly in terms of scalability?

Q. What is the primary advantage of using NoSQL data stores in handling structured and unstructured data in a two-system configuration?