Uploaded May 2026 | Updated September 2026, 3 weeks ago
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.
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6005B8H6V3
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6000B8H6d8
Get detailed information about reloading a dataset's data: https://social.ora.cl/6007B8H6Qc
Check out detailed instructions on how to schedule a dataset reload: https://social.ora.cl/6001B8H6k9
Like what you learned about Oracle Analytics Cloud? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
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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.
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6005B8H6V3
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6000B8H6d8
Get detailed information about reloading a dataset's data: https://social.ora.cl/6007B8H6Qc
Check out detailed instructions on how to schedule a dataset reload: https://social.ora.cl/6001B8H6k9
Like what you learned about Oracle Analytics Cloud? Subscribe now https://social.ora.cl/60025k87j
Join us at Oracle AI World: https://social.ora.cl/60035eVvJ
Contact AIDP sales: https://social.ora.cl/6003FLUMT
Learn more about Oracle AIDP: https://social.ora.cl/60047h76Q
Join the Oracle AIDP Community: https://social.ora.cl/60087h7Bj
Follow us here:
LinkedIn: https://social.ora.cl/60035eXuF
X: https://social.ora.cl/6008abVgG
Instagram: https://social.ora.cl/60095eXDN
Facebook: https://social.ora.cl/60065enQp
