adplus-dvertising
frame-decoration

Question

What is one of the primary challenges associated with the database size in Big Data problems?

a.

Managing complex data relationships

b.

Handling high-speed data streams

c.

Ensuring data consistency

d.

Coping with huge data volumes

Posted under Big Data Computing

Answer: (d).Coping with huge data volumes Explanation:One of the primary challenges associated with the database size in Big Data problems is coping with huge data volumes, which can reach magnitudes like hundreds of Tera Byte (TB), Peta Byte (PB), or Exa Byte (EB).

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 primary challenges associated with the database size in Big Data problems?

Similar Questions

Discover Related MCQs

Q. Which factor significantly influences the performance of data management in Big Data solutions?

Q. What is the main factor that influences the performance of data management in terms of data modeling?

Q. Which category of NoSQL databases is known for its effectiveness in handling time series data and data from multiple sources?

Q. In which situation are document stores like MongoDB and CouchDB typically used?

Q. Which NoSQL database category is suitable for modeling relationships among data and is often used in fields such as geospatial analysis and network analysis?

Q. What does the CAP theorem state about distributed storage systems?

Q. Which property of the CAP theorem refers to the system's ability to provide the same data to all clients after an operation?

Q. What is the main difference between the ACID and BASE properties in the context of database transactions?

Q. Which category of NoSQL databases is known for its high scalability and suitability for managing large lists of elements?

Q. What are the main performance bottlenecks for NoSQL data stores?

Q. How does the number of nodes in a cluster typically affect the completion times of jobs in a clustering solution?

Q. Why is memory caching or memory-based storage important for high-performance databases?

Q. What role does the network capability play in the performance of Big Data management?

Q. How can data organization impact storage and access performance?

Q. Why is it important to define rules for arranging and filtering data in Big Data solutions?

Q. What is the challenge related to data rendering when dealing with huge data sets?

Q. How can efficient access to Big Data results be guaranteed?

Q. What is a common feature of faceted results in data access?

Q. How does the number of nodes in a cluster affect job completion times in Big Data solutions?

Q. What is the role of memory caching or memory-based storage in high-performance databases?