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Combine and Join Tables From Your Excel Data – Free Template

Combine and join tables from your Excel data without writing a single line of code.

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Pull from Excel file Source
Combine tables Transform
Generate your results Output
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How it works

Transform your data in five easy steps using Parabola's drag-and-drop interface, powered by AI.

  1. 1
    Set up your data source by creating a new Parabola flow and uploading your Excel file. This creates your workflow foundation.
  2. 2
    Select the specific worksheets and ranges you want to join. Configure any necessary data formatting or filtering.
  3. 3
    Define your join conditions by identifying the common fields between tables. This ensures accurate data relationships.
  4. 4
    Use Parabola's transformation tools to create the join operations. This step lets you specify how tables should be combined and what information to include.
  5. 5
    Generate your results by previewing the joined data and running your automated flow. Once configured, this process will update automatically.
Why this template

How to use Excel

Parabola automates spreadsheet-based workflows on Excel files.

  • Drag-and-drop interface for importing Excel files
  • Support for multiple sheets and complex Excel formats
  • Automatic column type detection and formatting

Retrieving data from Excel

Parabola's Pull from Excel file step imports spreadsheet data into your Flow. The step handles various Excel file formats and recognizes column headers and data types automatically.

Key features

  • Automatic column type detection
  • Support for multiple sheets within a workbook
  • Preservation of data formatting
  • Handling of merged cells
  • Error checking and validation

How to use

  1. Add the Pull from Excel file step to your Flow
  2. Upload your Excel file
  3. Select the specific sheet you want to import
  4. Configure any additional import settings
  5. Preview your data before proceeding

Combine tables

The Combine tables step in Parabola merges data sets from different sources based on matching columns – mirroring the functionality of a vlookup in Excel.

Key features

  • Multiple joining methods (inner, left, right, full outer)
  • Column matching flexibility
  • Automatic data type handling
  • Duplicate handling options

How to use

  1. Add the Combine tables step to your Flow
  2. Connect the two datasets you'd like to join to the Combine tables step
  3. Choose the join type
  4. Map the matching columns
  5. Specify whether you'd like to match where any values match or all values
  6. Update results to preview the output and make edits as necessary

Practical use cases and examples

Sales and inventory reconciliation

Merge sales data from one Excel sheet with inventory records from another to track product performance against stock levels.

Customer data enrichment

Combine customer information from multiple Excel sources by matching on common identifiers like email or customer ID.

Financial reporting consolidation

Join financial data from different departments' Excel sheets into consolidated reports.

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