adplus-dvertising
frame-decoration

Question

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

a.

Hardware complexity

b.

Data consistency

c.

Concurrency management

d.

Data volume scalability

Posted under Big Data Computing

Answer: (d).Data volume scalability Explanation:A key requirement when handling Big Data is data volume scalability, which refers to the ability to handle large volumes of data effectively.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

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

Similar Questions

Discover Related MCQs

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

Q. In the context of Big Data, what does the term "scaling up" refer to?

Q. What is the main purpose of Enterprise Search in the context of Big Data?

Q. What advantage does Hadoop offer in terms of job recovery when tasks fail?

Q. What is one of the benefits of Hadoop's ability to schedule very large jobs in smaller chunks?

Q. What opportunity does the combination of Hadoop's scale, unstructured data processing, and machine learning algorithms create?

Q. What is one of the challenges associated with the Hadoop file system (HDS)?

Q. What does the batch-oriented nature of Hadoop mean for real-time changes?

Q. What is a major limitation of Hadoop's approach to data reliability?

Q. What challenge is associated with getting data in and out of Hadoop?

Q. What is one example of a technological solution for Big Data Analytics that involves both NoSQL and Hadoop?

Q. What is the primary interface in the solution where NoSQL and Hadoop are combined?

Q. What is one advantage of Vertica's execution engine optimization?

Q. How does Vertica handle data loading to address the myth that columnar databases are slow to load?

Q. What is one feature that distinguishes Vertica from traditional databases in terms of operations and downtime?

Q. What is one of the barriers that Vertica aims to remove when it comes to monetizing Big Data?

Q. What is one of the main differences between Vertica and Hadoop in terms of data access and storage?

Q. What is the primary interface for accessing data in Vertica?

Q. What is the intended use case for VoltDB in conjunction with a companion data warehouse?

Q. What is the primary focus of Hadapt in the context of analytics?