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公式動画&関連する動画 [How to Reload Data from External Connections in Oracle Analytics Cloud]
Keep dashboards and workbooks current by reloading cached dataset tables and scheduling automated refreshes in Oracle Analytics Cloud. Learn how Automatic Caching and Live access modes work with external connections such as Oracle Autonomous Database through the complete walkthrough. Explore training and additional details at the resources linked below.
This tutorial demonstrates how to reload dataset data from external connections in Oracle Analytics Cloud to keep dashboards and workbooks aligned with the latest source updates. The walkthrough explains how Oracle Analytics Cloud uses cached data to improve query performance when working with external data sources and why cached datasets may occasionally need to be refreshed. Using a dataset connected to Oracle Autonomous Database, the tutorial shows how to identify cached tables and manually reload data to update analytics results.
The tutorial also explains the difference between Automatic Caching and Live access modes when working with external connections. Cached tables can be refreshed by rerunning queries against the source system, while Live tables query the source directly and do not require reload operations. The walkthrough covers how to review reloadable dataset tables, start reload jobs, and monitor background refresh activity through the history interface.
In addition to manual reloads, the tutorial demonstrates how to configure recurring schedules for automated dataset refreshes. Daily schedules are created to reduce manual intervention and help ensure dashboards remain current over time. The tutorial also shows how to review schedule details and reload history for ongoing dataset management. By combining scheduled refreshes with Oracle Analytics Cloud caching features, organizations can maintain reliable analytics performance while keeping external data synchronized with business reporting requirements.
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