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Power Automate Desktop Data Table Actions|Create Data Table, Insert Row, Delete Row, and Update Item
📊 Data Table Actions Explained
In Power Automate Desktop, data table actions let you create and manage structured tabular data (rows and columns) directly inside your flows. The key actions are: Create Data Table, Insert Row, Delete Row, and Update Item. These make it possible to build, modify, and maintain dynamic datasets without external tools like Excel.
1. Create Data Table
Purpose: Initializes a new table variable with defined columns.
Example: Create a table with columns Name, Age, Department.
Output: An empty table ready to store rows.
2. Insert Row into Data Table
Purpose: Adds a new row of values into the table.
Example: Insert ["Alice", 28, "HR"] into the employee table.
Options: Values must match the number of columns defined.
3. Delete Row from Data Table
Purpose: Removes a specific row by index.
Example: Delete row at index 2 (third row).
Use case: Clean up unwanted or outdated entries.
4. Update Data Table Item
Purpose: Modify a specific cell in the table.
Example: Update Age in row 1 from 28 → 29.
Use case: Correct or refresh data without recreating the table.
Видео Power Automate Desktop Data Table Actions|Create Data Table, Insert Row, Delete Row, and Update Item канала Learn RPA and Cloud Technologies
In Power Automate Desktop, data table actions let you create and manage structured tabular data (rows and columns) directly inside your flows. The key actions are: Create Data Table, Insert Row, Delete Row, and Update Item. These make it possible to build, modify, and maintain dynamic datasets without external tools like Excel.
1. Create Data Table
Purpose: Initializes a new table variable with defined columns.
Example: Create a table with columns Name, Age, Department.
Output: An empty table ready to store rows.
2. Insert Row into Data Table
Purpose: Adds a new row of values into the table.
Example: Insert ["Alice", 28, "HR"] into the employee table.
Options: Values must match the number of columns defined.
3. Delete Row from Data Table
Purpose: Removes a specific row by index.
Example: Delete row at index 2 (third row).
Use case: Clean up unwanted or outdated entries.
4. Update Data Table Item
Purpose: Modify a specific cell in the table.
Example: Update Age in row 1 from 28 → 29.
Use case: Correct or refresh data without recreating the table.
Видео Power Automate Desktop Data Table Actions|Create Data Table, Insert Row, Delete Row, and Update Item канала Learn RPA and Cloud Technologies
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18 апреля 2026 г. 15:48:15
00:06:03
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