Which term describes large or complex data sets that traditional data processing applications cannot sufficiently handle?

Which term describes large or complex data sets that traditional data processing applications cannot sufficiently handle?

• A. Cryptocurrency
• B. Big Data
• C. Blockchain
• D. Distributed Consensus

Answer: (B)

Big data describes data sets that are too large or complex for traditional data processing tools to handle efficiently. This challenge often involves the three Vs: volume ( massive amounts of data ), velocity ( rapid data inflow requiring real-time or near-real-time processing ), and variety ( diverse data types and formats, including unstructured data ). Traditional systems are typically designed for smaller, structured data and batch processing, so they struggle with storage, processing speed, and integration when faced with big data. To manage these demands, organizations use scalable, distributed storage and processing frameworks that can run across many machines, enabling timely analysis and insights from vast datasets. The other terms relate to different concepts: cryptocurrency is a digital currency, blockchain is a distributed ledger technology, and distributed consensus is a method for agreeing on state in a distributed system; none describe the overarching challenge of handling extremely large or complex data sets.