Use the suite of data tools built into Oracle Autonomous Database to help you with typical data warehouse tasks: Load, inspect, and transform data. Create a semantic business model. Identify data anomalies and outliers. Use the catalog to understand data lineage and impact analysis.
Learn how to deliver high value solutions using Oracle Cloud data platform services. Deploy an Autonomous Database instance, integrate Autonomous Database with a Data Lake, use advanced SQL to uncover issues and possibilities, predict customer churn using Machine Learning, use spatial analyses to help provide localized promotions, and offer recommendations based on graph relationships.
Learn some of the key analytical features of Oracle Autonomous Database such as window functions, pattern matching, Excel-like operations using the SQL Model clause, and simple machine learning models.
Oracle Machine Learning Notebooks is an Apache Zeppelin-based collaborative web-based interface that provides a development environment to create machine learning notebooks where you can perform data exploration and visualizations, data preparation and machine learning.