What does Data Science primarily integrate with?

Data Science primarily integrates with ADW (Autonomous Data Warehouse), various functions, and object storage. This integration is vital because ADW provides a robust environment for storing and processing large datasets, facilitating advanced analytics and enabling efficient data retrieval. Functions allow for the execution of custom algorithms and workflows, which are crucial for data preprocessing and model evaluation. Object storage plays a significant role by providing a scalable solution for handling vast amounts of unstructured data, making it easier for data scientists to store, access, and manipulate diverse datasets in their analysis.

While other options may include relevant components related to data processing and analytics, they do not collectively encapsulate the broader landscape of tools and services that practice effective data science integration in today’s cloud-centric environment as extensively as the combination of ADW, functions, and object storage does.