logo
Bika.ai

All-in-one AI Workspace

Discover

Create Apps with AI

Integrations

Visit official website

About Bika

Help center

Pricing

API documentation

Contact customer service

facebook
facebook
facebook
;
CSV-to-Database Automation Examples
CSV-to-Database Automation Examples

v1.0.3

Kelvin

The CSV-to-Database Automation Examples template offers practical tools to enhance your data management process. It includes the "Imported Data" database, which streamlines product tracking with essential fields like product ID and sales trends. Paired with the "CSV to Database" automation tool, you can easily trigger CSV file imports and convert data into a usable format, improving your workflow efficiency.

📜 Script

🤖 Automation

🔬 Technology

Included Resources

Imported Data

The "Imported Data" database is designed to streamline your product tracking needs. With fields for product ID, name, category, price, quantity sold, and sale date, this resource allows you to efficiently manage and analyze sales data. By utilizing this database, you can gain valuable insights into product performance, sales trends, and inventory management, making it an essential tool for businesses focused on data-driven decision-making.

CSV to database

The "CSV to Database" automation streamlines data importing by enabling users to manually trigger the process of reading CSV files via URL. It converts CSV data into a dictionary format using customizable scripts in Python or JavaScript, followed by looping actions for efficient handling of repetitive tasks. This resource is ideal for facilitating data manipulation and incremental database record imports, enhancing overall workflow efficiency and productivity.

Workflow Graph

Workflow Graph

Workflow of CSV-to-Database Automation Examples

Release notes

Release notes

Release notes of CSV-to-Database Automation Examples

​​Quick Start Guide​​

To help you understand how the automation works in this template, we provide a ​​mock CSV file​​ hosted at this URL:

👉mock_sales.csv

  1. ​​Install the template​​
  2. Open the ​​"CSV to Database" automation​​
  3. In the right-side panel:
    • Navigate to Dynamic Fields > CSV File URL
    • Paste the mock CSV URL provided above
  4. Click ​​"Run Now"​​ to:
    • Fetch CSV data from the URL
    • Convert rows into structured records
    • Insert them into the target database
  5. Verify results in the ​​"Imported_Data"​​ database