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Combine and Join Tables From Your Google Sheets Data – Free Template

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

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Pull from Google Sheets 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 linking your Google Sheets document.
  2. 2
    Select the specific sheets 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 set up, this process will sync automatically.
Why this template

How to use Google Sheets

Parabola's Google Sheets integration connects to your spreadsheet data. Here are the main advantages:

  • Synchronization with your Google Sheets documents
  • Ability to pull data from multiple sheets and ranges
  • Automatic handling of various data formats

Retrieving data from Google Sheets

The Pull from Google Sheets step in Parabola connects directly to your Google Sheets files and maintains a live link, so your Flow runs on the current data.

Key features

  • Direct connection to Google Sheets
  • Support for multiple sheets within a Sheet
  • Automatic data type recognition
  • Live data syncing

How to use

  1. Add the Pull from Google Sheets step to your Flow
  2. Authenticate your Google account
  3. Select your target Google Sheet
  4. Choose specific sheets or ranges to import
  5. Configure update settings

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

Combine sales data from one sheet with inventory levels from another to track product performance and stock levels across locations.

Customer data enrichment

Join customer information from multiple sheets to combine contact information with purchase history, support tickets, and engagement metrics in one dataset.

Financial reporting consolidation

Merge financial data from different departments or business units into a single report covering revenue, expenses, and other key metrics.

Keep going

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