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プラットフォームおよびインフラストラクチャ・サービスのデータ・リージョン
デフォルト・データ・リージョン選択のガイドライン
- Oracle Cloudサービスが使用可能な場所を調べるには、下の表を参照してください。
- 目的のサービスを提供するデータ・リージョンのリストから、Oracle Cloudユーザーにもっとも近いリージョンを選択してください。
- このページの一番下にある備考に目を通して、お客様の国にデータ・リージョン選択時の制限や追加のガイドラインがないかどうか確認してください。
- 無償のOracle Cloudプロモーションは北米とEMEAのデータ・リージョンでのみ使用可能です。
Collaborative end-to-end machine learning in the cloud
The Oracle Data Science Cloud Service enables data science teams to easily organize their work, access data and computing resources, and build, train, deploy, and manage models on the Oracle Cloud. The platform makes data science teams more productive, and enables them to deploy more work faster to power their organizations with machine learning.
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Collaborative and Integrated
Project based UI enables data science teams to work together on end-to-end modeling workflows with all of their work backed up by built-in version control and leverage the best of open source machine learning on a platform tightly integrated with high performance Oracle Cloud Infrastructure.
Self-Service
Launch sessions instantly with self-service access to the compute, data, and packages data scientists need to get to work quickly on any size analysis.
Enterprise Grade
A fully managed platform designed to meet the needs of the modern enterprise.
Product Features
Open all Close allCollaborative Workspace
- Project-based UI simplifies data science operations and enables teams to work together in the cloud.
- Native support for popular version control providers ensures all work is synced across the platform.
- Integration with Oracle Identity Cloud Service ensures managers and/or admins can control who has access to projects and data.
Projects
Version Control
Access Controls
Model Lifecycle Management
- Build and train models within notebook environment leveraging high-performance Oracle Cloud Infrastructure.
- Easily deploy models as scalable REST APIs.
- Evaluate metrics on model performance.
Model Development
One-Click Model Deployment
Model Monitoring
Open Source Support
- Built-in cloud hosted Jupyter notebooks enables teams to build and train models using Python.
- Leverage popular open source visualization tools like Plotly, Matplotlib, and Bokeh to visualize and explore data.
- Launch environments with popular machine learning frameworks like TensorFlow and scikit-learn, or easily install any other open source package.
Notebooks
Visualization Tools
Open Source Machine Learning Frameworks
Access to Data and Compute
- Leverage data stored in Oracle Object Storage Cloud.
- Spin up containers on Oracle Cloud Infrastructure to tackle analyses of any size, leveraging Kubernetes.
- Use secure credentials to safely access data in Oracle Object Storage Cloud.