2 Analyze Oracle Health Real-World Data
Use Oracle AI Data Platform Workbench (Workbench) notebooks to analyze authorized Oracle Health Real-World Data (RWD) and approved customer-provided data in a governed workspace.
This section contains the following tasks:
- Analyze Data Using Workbench Notebooks
Use Oracle AI Data Platform Workbench (Workbench) notebooks to analyze authorized Oracle Health Real-World Data (RWD) and approved customer-provided data in a governed workspace. - Manage Package Dependencies in Workbench
You can analyze data using Workbench Notebooks with packages. If your analysis requires additional packages, you can manage package dependencies to compute. Workbench notebooks do not support native pip installations from notebook cells. - Analyze Data Using Python in Workbench Notebooks
Use Python to analyze data when you need statistical processing, cohort analysis, feature generation, model preparation, or other notebook-based methods. Exact packages and Spark access patterns are dependent on your environment. - Analyze Data Using Data Science Service Notebooks
Use Data Science Service to perform statistical analysis and modeling to answer your research questions. At a high level, you need to set up a workspace in Data Science Service, prepare the data, conduct analysis, interpret the results, then share the findings. - Sign in to Data Science Service from OCI
Access Data Science Service from your organizations Oracle Cloud Infrastructure (OCI) console. - Create Data Science Service Projects
Create projects in Data Science Service to organize your work. Projects contain a collection of Data Science resources such as notebooks. When you sign in to Data Science Service, access the Projects page. - Create Notebook Sessions Using JupyterLab
Notebook sessions are interactive coding environments where you can build and train models. Oracle Life Sciences AI Data Platform uses Data Science Service from Oracle Cloud Infrastructure. - Configure Data Science Service Notebooks Using PySpark
The Python3 conda environment is preinstalled in the notebook session. The conda environment is a Python3-based conda environment and has a minimal set of Python libraries installed. - Connect to Oracle Health Real-World Data from Notebooks
There are a variety of methods to connect to Oracle Health Real-World Data from notebooks. - FAQs for Data Science Service
Answers to frequently asked questions for Data Science Service in Oracle Life Sciences AI Data Platform.