"Data-intensive" refers to processes or applications that require large amounts of data to function effectively. This can include tasks like analyzing trends, making predictions, or improving services. Examples of data-intensive fields include big data analytics, machine learning, and scientific research, where vast datasets are essential for accurate results. In a data-intensive environment, the ability to store, manage, and analyze data efficiently is crucial. Technologies such as cloud computing and data warehouses are often employed to handle the volume and complexity of data. These tools help organizations derive valuable insights and make informed decisions based on the information available.