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What Are the Main Challenges of Big Data Volume, Velocity, and Variety?
Understand the primary challenges Big Data poses to organizations for your certification exam. Learn how managing the massive volume, high-speed velocity, and complex variety of data drives the need for distributed processing systems.
Question
Which of the following best describes the main challenge Big Data poses to organizations?
A. Limited programming languages for analytics
B. Small-scale storage limitations on desktops
C. Difficulty managing the large volume, velocity, and variety of data
D. Lack of internet access for data collection
Answer
C. Difficulty managing the large volume, velocity, and variety of data
Explanation
The main challenge Big Data poses to organizations is encapsulated by its defining characteristics, universally known as the “3 Vs”: Volume, Velocity, and Variety. Volume refers to the overwhelming sheer size of data that traditional storage systems cannot handle; Velocity refers to the unprecedented speed at which data is generated and must be processed (e.g., real-time IoT sensors); and Variety refers to the mix of structured, semi-structured, and unstructured data types (like videos, text, and XML) that make integration difficult. The other options—limited programming languages, desktop storage constraints, or lack of internet access—are either incorrect or represent minor, easily solvable technical limitations rather than the foundational enterprise challenges of Big Data.