Convert Parquet, Avro, ORC & Feather via ParquetReader to JSON

👥 Who Should Use This Workflow

• Data Engineers: If you're working with large datasets in formats like Parquet, Avro, ORC, or Feather, this workflow simplifies the conversion process to JSON.
• Data Analysts: Easily convert files for analysis and visualization in tools that support JSON.
• Developers: Integrate this workflow into applications requiring automated data processing.
• Business Intelligence Professionals: Streamline data ingestion from various file formats into BI tools that accept JSON.

Key Benefits

• Save time on manual conversions.
• Ensure data consistency and accuracy during format changes.

🛠️ What Problem Does This Workflow Solve

This workflow addresses the challenge of converting complex file formats like Parquet, Avro, ORC, and Feather into JSON. These formats are commonly used for data storage and processing but can be cumbersome to work with directly in many applications. By automating the conversion process, users can:

• Eliminate manual data transformation efforts.
• Improve data accessibility for analysis and reporting.
• Ensure seamless integration with various data processing tools and platforms.

📋 Detailed Explanation of the Workflow Process

1. Webhook Trigger: The workflow begins when a file is uploaded via a POST request to the webhook endpoint (e.g., http://localhost:5678/webhook-test/convert). The file can be in any of the supported formats (Parquet, Avro, ORC, Feather).

2. Send to Parquet API: The uploaded file is sent to the ParquetReader API at https://api.parquetreader.com/parquet. The file is sent as multipart/form-data with the field name file.

3. Parse API Response: After the API processes the file, the workflow receives a response containing parsed data, schema, and metadata. The response is then processed to convert any stringified JSON data into actual JavaScript objects for further use in subsequent steps.