In this video tutorial, you’ll learn how to reload cached dataset tables in Oracle Analytics Cloud (OAC) to keep your dashboards and analyses up to date. By refreshing data from an external source, you can ensure your reports reflect the latest available information without recreating your datasets.
In this tutorial, you’ll learn how to:
- Locate datasets created from external connections in Oracle Analytics Cloud.
- Distinguish between tables using Automatic Caching and Live connections to determine which require reloading.
- Reload cached dataset tables to retrieve updated data from the source system.
- Monitor reload operations and review execution details in the History tab.
- Create automated reload schedules to refresh cached tables at specified intervals.
- Review scheduled reloads and their run history to track refresh activity.
By reloading cached dataset tables and configuring automated schedules, you can keep your Oracle Analytics Cloud dashboards current while reducing manual maintenance. Watch the full tutorial to learn how to refresh cached data and schedule recurring reloads. For more information about refreshing cached data and managing automated reloads, see the Oracle Help Center documentation on Reload a Dataset's Data and Work with Dataset Reload Schedules.
Explore more tutorials in the Oracle Analytics in Minutes, Import and Prepare Data in Oracle Analytics Cloud, Build Your First Workbook in Oracle Analytics Cloud, and Data Flows in Oracle Analytics Cloud playlists to continue building your data preparation, visualization, and analytics skills.
For hands-on learning, explore the Oracle Analytics and AI Learning Hub.
