Uploaded May 2026 | Updated September 2026, 3 weeks ago
Restore missing workbook data connections in Oracle Analytics Cloud by using aliases to reconnect workbooks to replacement datasets without rebuilding analytics content. See how aliases help maintain workbook continuity across datasets, subject areas, and database connections in Oracle Analytics Cloud at the resources linked below.
In this tutorial, we explore how to use aliases in Oracle Analytics Cloud to restore missing workbook data connections and recover analytics content without rebuilding existing workbooks. Oracle Analytics Cloud uses unique object IDs to maintain references between workbooks and their associated datasets, database connections, and subject areas. When a referenced dataset becomes unavailable because of deletion or access changes, workbook visualizations can no longer retrieve data and display errors.
The tutorial demonstrates how to identify a missing dataset reference by reviewing the workbook error message and locating the original object ID. We then recreate a compatible dataset with the same structure and assign the original object ID as an alias to the replacement dataset. This process allows Oracle Analytics Cloud to redirect workbook references to the new dataset while preserving the existing analytics content and visualizations.
You will also learn how aliases can support broader content management workflows across additional Oracle Analytics Cloud data sources, including database connections and subject areas. The walkthrough highlights how to use the Inspect menu to review object IDs, manage aliases, and maintain continuity for analytics assets when underlying data sources change. By the end of the tutorial, you will understand how aliases help reduce disruption, simplify workbook recovery, and improve administration of analytics environments in Oracle Analytics Cloud.
00:00 Understand Missing Data Connections and Aliases
00:30 Workbook Errors due to Missing Data Connections
00:37 Copy the Original Object ID
00:54 Recreate the Dataset
01:08 Understand Object ID References
01:18 Configure a Dataset Alias
01:43 Validate Alias
01:56 Aliases for Other Data Sources
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6004B8H6oO
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6007B8H69h
Check out detailed instructions on how to copy a dataset's Object ID: https://social.ora.cl/6006B8XHtI
Read written instructions on how to add an alias to support legacy references: https://social.ora.cl/6004B8XHQQ
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
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Restore missing workbook data connections in Oracle Analytics Cloud by using aliases to reconnect workbooks to replacement datasets without rebuilding analytics content. See how aliases help maintain workbook continuity across datasets, subject areas, and database connections in Oracle Analytics Cloud at the resources linked below.
In this tutorial, we explore how to use aliases in Oracle Analytics Cloud to restore missing workbook data connections and recover analytics content without rebuilding existing workbooks. Oracle Analytics Cloud uses unique object IDs to maintain references between workbooks and their associated datasets, database connections, and subject areas. When a referenced dataset becomes unavailable because of deletion or access changes, workbook visualizations can no longer retrieve data and display errors.
The tutorial demonstrates how to identify a missing dataset reference by reviewing the workbook error message and locating the original object ID. We then recreate a compatible dataset with the same structure and assign the original object ID as an alias to the replacement dataset. This process allows Oracle Analytics Cloud to redirect workbook references to the new dataset while preserving the existing analytics content and visualizations.
You will also learn how aliases can support broader content management workflows across additional Oracle Analytics Cloud data sources, including database connections and subject areas. The walkthrough highlights how to use the Inspect menu to review object IDs, manage aliases, and maintain continuity for analytics assets when underlying data sources change. By the end of the tutorial, you will understand how aliases help reduce disruption, simplify workbook recovery, and improve administration of analytics environments in Oracle Analytics Cloud.
00:00 Understand Missing Data Connections and Aliases
00:30 Workbook Errors due to Missing Data Connections
00:37 Copy the Original Object ID
00:54 Recreate the Dataset
01:08 Understand Object ID References
01:18 Configure a Dataset Alias
01:43 Validate Alias
01:56 Aliases for Other Data Sources
Find training paths for Oracle Analytics and AI from beginner to advanced and expert: https://social.ora.cl/6004B8H6oO
Explore self-paced short courses in the Oracle Analytics and AI Learning Hub: https://social.ora.cl/6007B8H69h
Check out detailed instructions on how to copy a dataset's Object ID: https://social.ora.cl/6006B8XHtI
Read written instructions on how to add an alias to support legacy references: https://social.ora.cl/6004B8XHQQ
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
