Google Sheets to Postgres Data Sync

Target Audience

• Data Analysts: Professionals who need to synchronize data between Google Sheets and PostgreSQL for analysis.
• Business Owners: Individuals looking to automate data management tasks to save time and reduce errors.
• Developers: Those who want to integrate Google Sheets with PostgreSQL in their applications.
• Data Scientists: Users who require up-to-date datasets for machine learning or reporting purposes.

Problem Solved

• Data Discrepancies: This workflow addresses the common issue of data discrepancies between Google Sheets and PostgreSQL by ensuring both datasets are synchronized regularly.
• Manual Data Entry Errors: Automating the synchronization process reduces the likelihood of human errors that can occur during manual data entry.
• Time Consumption: It saves significant time by automating data retrieval and updates, allowing users to focus on analysis rather than data management.

Workflow Steps

1. Schedule Trigger: The workflow is initiated on a defined schedule (e.g., every hour).
2. Retrieve Sheets Data: Data is fetched from a specified Google Sheets document.
3. Select Rows in Postgres: Existing rows are selected from a PostgreSQL database to compare with the retrieved data.
4. Split Out Relevant Fields: The relevant fields (first name, last name, town, age) are extracted from the retrieved data for comparison.
5. Compare Datasets: The workflow compares the data from Google Sheets with the data from PostgreSQL, identifying new and updated records.
6. Insert Rows: New records from Google Sheets are inserted into the PostgreSQL database.
7. Update Rows: Existing records in PostgreSQL are updated with any changes found in the Google Sheets data.