What service allows you to create, manage, and scale big data applications?

The service that enables users to create, manage, and scale big data applications is Data Flow. This service provides a fully managed, serverless environment for processing data using Apache Spark, which is a popular big data processing framework. With Data Flow, users can easily develop and manage large-scale data processing applications without the need to manage the underlying infrastructure, thereby allowing them to focus more on the application logic rather than operational concerns.

Data Flow also supports various data sources and provides features for integration with other Oracle Cloud services, enhancing its usability in big data contexts. By leveraging the scalability of the cloud, Data Flow can handle large volumes of data efficiently, making it suitable for organizations that require robust big data solutions.

While the other services listed may relate to data management or analysis, they do not specifically target the creation and scaling of big data applications in the same manner as Data Flow. For instance, Data Science focuses more on building and deploying machine learning models, and Autonomous Database is centered around database management with machine learning capabilities. Data Integrator, while useful for extracting, transforming, and loading data, does not provide the same level of functionality for managing big data applications.