What is a primary benefit of using Amazon Kinesis Data Analytics applications?

Amazon Kinesis Data Analytics is designed specifically for processing and analyzing streaming data in real-time. This allows organizations to gain immediate insights from their data as it flows through the system, enabling timely decision-making and action based on the most current information available. The application transforms and analyzes streaming data using standard SQL queries, making it accessible and manageable.

This capability is crucial for various use cases, such as monitoring streaming data from IoT devices, processing logs in real-time, or conducting fraud detection as transactions occur. By focusing on the ability to process and analyze data as it arrives, Kinesis Data Analytics empowers organizations to turn raw data into actionable insights almost instantaneously.

The other options, while they touch on aspects relevant to data handling, do not fully encapsulate the primary function of Kinesis Data Analytics. Visualizing data in real-time and implementing machine learning models may utilize the outputs of Kinesis, but they are not the core feature of the service itself. Storing large datasets, on the other hand, is not a function of Kinesis Data Analytics; its strength lies in processing data rather than storing it, which is typically handled by other Amazon services like Amazon S3 or Amazon Redshift.