Which concept describes massive volumes of diverse and rapidly growing data that are not formally modeled?

Which concept describes massive volumes of diverse and rapidly growing data that are not formally modeled?

• A. Big Data
• B. Master Data
• C. MapReduce
• D. Registry

Answer: (A)

Big Data describes massive volumes of diverse and rapidly growing data that are not formally modeled. This captures the idea that data come from many sources—logs, social media, sensors, multimedia—and accumulate quickly, often without a rigid predefined schema. Because the data are so varied and expansive, traditional relational models struggle, so organizations use schema-on-read approaches and distributed technologies to store and analyze it. Tools like MapReduce are associated with processing such data, but they describe how you analyze it, not the data themselves. Master Data refers to core business entities that are highly modeled, and a Registry is a metadata or configuration store, not the phenomenon of large, unstructured data growth. So the concept that best fits is Big Data.

Big Data describes massive volumes of diverse and rapidly growing data that are not formally modeled. This captures the idea that data come from many sources—logs, social media, sensors, multimedia—and accumulate quickly, often without a rigid predefined schema. Because the data are so varied and expansive, traditional relational models struggle, so organizations use schema-on-read approaches and distributed technologies to store and analyze it. Tools like MapReduce are associated with processing such data, but they describe how you analyze it, not the data themselves. Master Data refers to core business entities that are highly modeled, and a Registry is a metadata or configuration store, not the phenomenon of large, unstructured data growth. So the concept that best fits is Big Data.