Power Platform

📄 Power Automate Desktop - Excel Automation Explanation This PAD flow allows the user to select an Excel file, extract all table values automatically, and display them in a popup message. Below is the detailed step-by-step process: 1️⃣ Select Excel File A file dialog appears prompting the user to select an Excel file ( *.xls* ). If the user clicks Cancel , the flow stops. 2️⃣ Launch Excel The flow launches the selected Excel file in visible and editable mode. Error handling ensures the file opens correctly. 3️⃣ Detect Data Range PAD automatically determines the first free row and first free column in the Excel sheet. This allows the flow to dynamically calculate the exact data range. 4️⃣ Read Data Using the detected boundaries, PAD reads the entire data table starting from column A row 1 , up to the last used row and column. The extrac...

DT Merge Data Tables vs Join Data Tables in Power Automate Desktop Quick reference for action selection, behavior, and constraints Merge Data Tables Purpose: append rows from one data table into another. Use when two tables share a common structure or when stacking rows is the goal. Inputs: primary table variable, secondary table variable, merge mode option. Merge mode handles schema differences: add extra columns, ignore extra columns, or error on extra columns. Behavior: rows from the second table are added to the first table variable. Limits: no relational matching, memory usage for large tables, result is in-memory only. Join Data Tables Purpose: perform relational-style joins using key-based rules. Use when rows must be matched between tables and fields from both tables are needed in the output. Inputs: first table, second table, join type (Inner, Left, F...

PA Power Automate Desktop - Data Table Concise reference - what it is, where to use, when to use, limitations 1. What it is A Data Table is an in-memory tabular structure with named columns and rows, implemented on the .NET DataTable model. Use it to hold structured records inside a flow for manipulation, iteration, and transformation before exporting or persisting. 2. Where you can use it Read Excel or CSV data and process rows without opening Excel UI Aggregate results from web scraping or API responses into a structured form Prepare datasets for export to SharePoint, databases, or files Combine multiple sources - append, merge, or join data before output Drive decision logic by iterating rows and applying conditional operations 3. When to use it When automation must process multiple records in memory during runtime When you need temporary structured storage between extraction and output step...