Autonomous Data Warehouse

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As a Data Scientist I use and interpret large data sets. I use this information to develop data-driven solutions to solve important business and scientific challenges.

1. Overview of Oracle Autonomous Data Warehouse

Learn more about the next-generation, self-driving Oracle Autonomous Database Cloud technology that is the foundation of Oracle Autonomous Data Warehouse.

2. Getting Started Autonomous Data Warehouse and Machine Learning

Learn how to log in to Oracle Cloud and the Oracle Cloud Infrastructure console and create a new autonomous data warehouse. Then learn how machine learning can help you predict customer credit rating using additional customer demographic information within your data warehouse.

3. Building Your Machine Learning Models

Your new autonomous data warehouse includes a built-in, browser-based SQL notebook tool - Oracle Machine Learning. Oracle Machine Learning provides an interactive data analysis environment where teams can work together to build shared, sophisticated reports and dashboards and is perfect for data scientists.

4. Visualizing and Sharing Your Data Sets

You can use Oracle Analytics Cloud with Autonomous Data Warehouse and Oracle Machine Learning to visualize and share your results. Oracle Analytics Cloud provides an interactive data analysis environment where teams can work together to build shared, sophisticated reports and dashboards. Oracle Analytics Cloud is perfect for data scientists, SQL report builders, SQL developers, and business analysts.

5. Questions?

Use our CloudCustomerConnect forum, data warehouse blog and Support portal as a place to pose questions, connect with experts, and share your thoughts and ideas about Oracle Autonomous Data Warehouse.

6. More Information

Check out the following blogs for more information about using Autonomous Data Warehouse and connecting other Oracle Cloud services to your new data warehouse.