Which term refers to extremely large datasets that traditional data processing methods can't handle?

Which term refers to extremely large datasets that traditional data processing methods can't handle?

• A. Big Data
• B. Moore's Law
• C. Cipher
• D. Encryption

Answer: (B)

Big Data refers to extremely large datasets that traditional data processing methods can’t handle because of the sheer volume, speed, and variety of data being generated. The idea is that conventional tools struggle to store, manage, and analyze data as it grows, arrives in real-time, and comes in many different formats. To work with Big Data, specialized technologies like distributed storage, parallel processing, and scalable analytics are used to extract meaningful insights. Moore’s Law is about the growth of computing power on silicon, roughly doubling every couple of years, which influences how fast we can process data but doesn’t define or describe these massive datasets. Cipher and Encryption relate to protecting data by transforming it to keep it secure, not to the size or handling of data. So the term that best fits the description is Big Data.

Big Data refers to extremely large datasets that traditional data processing methods can’t handle because of the sheer volume, speed, and variety of data being generated. The idea is that conventional tools struggle to store, manage, and analyze data as it grows, arrives in real-time, and comes in many different formats. To work with Big Data, specialized technologies like distributed storage, parallel processing, and scalable analytics are used to extract meaningful insights.

Moore’s Law is about the growth of computing power on silicon, roughly doubling every couple of years, which influences how fast we can process data but doesn’t define or describe these massive datasets. Cipher and Encryption relate to protecting data by transforming it to keep it secure, not to the size or handling of data. So the term that best fits the description is Big Data.