Final answer:
D. Parallel Processing is the computing technology that provides Hadoop's high performance by dividing data into smaller parts and distributing them across multiple nodes for faster processing.
Step-by-step explanation:
The computing technology that provides Hadoop's high performance is Parallel Processing. Hadoop is an open-source framework that is specifically designed to process and analyze large data sets across multiple computers or nodes in parallel. By dividing the data into smaller parts and distributing them across the nodes, Hadoop significantly improves processing speed and overall performance.
Parallel processing allows Hadoop to perform multiple computations simultaneously, enabling it to handle large volumes of data quickly and efficiently. This technology harnesses the power of distributed computing, where individual nodes work together to solve complex tasks in parallel. This approach is especially useful for big data processing and analytics, making Hadoop a popular choice for organizations dealing with massive data sets.