Data-intensive Computing

Data-intensive computing involves processing and analyzing large volumes of data to extract useful insights or support decision-making. It uses specialized hardware, software, and frameworks to manage, store, and analyze data that traditional tools can't handle efficiently. This approach enables organizations to uncover patterns, trends, and relationships from vast datasets, often in real-time. Examples include big data analytics, machine learning, and cloud computing applications. Essentially, data-intensive computing empowers businesses and researchers to turn massive amounts of information into valuable knowledge, supporting advanced technologies and innovations across various fields.